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south-forecast.2025-03-24.0.log

south-forecast.2025-03-24.0.log 274 KB
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
  1. 2025-03-24 10:13:51,590 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
    2. 

  2. 2025-03-24 13:44:46,387 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
    3. 

  3. 2025-03-24 13:44:46,532 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    4. 

  4. 2025-03-24 13:44:46,532 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    5. 

  5. 2025-03-24 13:44:46,544 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    6. 

  6. 2025-03-24 13:44:46,544 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    7. 

  7. 2025-03-24 13:44:46,551 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    8. 

  8. 2025-03-24 13:44:46,551 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    9. 

  9. 2025-03-24 13:44:46,573 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    10. 

  10. 2025-03-24 13:44:46,573 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    11. 

  11. 2025-03-24 13:44:46,573 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    12. 

  12. 2025-03-24 13:44:46,573 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    13. 

  13. 2025-03-24 13:44:46,607 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    14. 

  14. 2025-03-24 13:44:46,607 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    15. 

  15. 2025-03-24 13:44:46,607 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    16. 

  16. 2025-03-24 13:44:46,607 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    17. 

  17. 2025-03-24 13:44:46,608 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    18. 

  18. 2025-03-24 13:44:46,608 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    19. 

  19. 2025-03-24 13:44:46,609 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    20. 

  20. 2025-03-24 13:44:46,609 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    21. 

  21. 2025-03-24 13:44:46,609 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    22. 

  22. 2025-03-24 13:44:46,609 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    23. 

  23. 2025-03-24 13:44:46,609 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    24. 

  24. 2025-03-24 13:44:46,609 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    25. 

  25. 2025-03-24 13:44:46,612 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    26. 

  26. 2025-03-24 13:44:46,612 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    27. 

  27. 2025-03-24 13:44:46,613 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    28. 

  28. 2025-03-24 13:44:46,613 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    29. 

  29. 2025-03-24 13:44:46,618 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    30. 

  30. 2025-03-24 13:44:46,618 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    31. 

  31. 2025-03-24 13:44:46,618 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    32. 

  32. 2025-03-24 13:44:46,618 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    33. 

  33. 2025-03-24 13:44:46,618 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    34. 

  34. 2025-03-24 13:44:46,618 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    35. 

  35. 2025-03-24 13:44:46,618 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    36. 

  36. 2025-03-24 13:44:46,618 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    37. 

  37. 2025-03-24 13:44:46,620 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    38. 

  38. 2025-03-24 13:44:46,620 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    39. 

  39. 2025-03-24 13:44:46,620 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    40. 

  40. 2025-03-24 13:44:46,620 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    41. 

  41. 2025-03-24 13:44:46,621 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    42. 

  42. 2025-03-24 13:44:46,621 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    43. 

  43. 2025-03-24 13:44:46,621 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    44. 

  44. 2025-03-24 13:44:46,621 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    45. 

  45. 2025-03-24 13:44:46,621 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    46. 

  46. 2025-03-24 13:44:46,621 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    47. 

  47. 2025-03-24 13:44:46,621 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    48. 

  48. 2025-03-24 13:44:46,621 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    49. 

  49. 2025-03-24 13:44:46,622 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    50. 

  50. 2025-03-24 13:44:46,622 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    51. 

  51. 2025-03-24 13:44:46,622 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    52. 

  52. 2025-03-24 13:44:46,622 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    53. 

  53. 2025-03-24 13:44:46,623 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    54. 

  54. 2025-03-24 13:44:46,623 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    55. 

  55. 2025-03-24 13:44:46,623 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    56. 

  56. 2025-03-24 13:44:46,623 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    57. 

  57. 2025-03-24 13:44:46,623 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    58. 

  58. 2025-03-24 13:44:46,623 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    59. 

  59. 2025-03-24 13:44:46,636 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    60. 

  60. 2025-03-24 13:44:46,636 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    61. 

  61. 2025-03-24 13:44:46,636 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    62. 

  62. 2025-03-24 13:44:46,636 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    63. 

  63. 2025-03-24 13:44:46,637 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    64. 

  64. 2025-03-24 13:44:46,637 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    65. 

  65. 2025-03-24 13:44:46,637 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    66. 

  66. 2025-03-24 13:44:46,637 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    67. 

  67. 2025-03-24 13:44:46,638 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    68. 

  68. 2025-03-24 13:44:46,638 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    69. 

  69. 2025-03-24 13:44:46,639 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    70. 

  70. 2025-03-24 13:44:46,639 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    71. 

  71. 2025-03-24 13:44:46,639 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    72. 

  72. 2025-03-24 13:44:46,639 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    73. 

  73. 2025-03-24 13:44:46,639 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    74. 

  74. 2025-03-24 13:44:46,639 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    75. 

  75. 2025-03-24 13:44:46,639 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    76. 

  76. 2025-03-24 13:44:46,639 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    77. 

  77. 2025-03-24 13:44:46,639 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    78. 

  78. 2025-03-24 13:44:46,639 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    79. 

  79. 2025-03-24 13:44:46,640 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    80. 

  80. 2025-03-24 13:44:46,640 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    81. 

  81. 2025-03-24 13:44:46,640 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    82. 

  82. 2025-03-24 13:44:46,640 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    83. 

  83. 2025-03-24 13:44:46,640 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    84. 

  84. 2025-03-24 13:44:46,640 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    85. 

  85. 2025-03-24 13:44:46,640 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    86. 

  86. 2025-03-24 13:44:46,640 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    87. 

  87. 2025-03-24 13:44:46,641 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    88. 

  88. 2025-03-24 13:44:46,641 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    89. 

  89. 2025-03-24 13:45:18,643 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
    90. 

  90. 2025-03-24 13:45:29,509 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    91. 

  91. 2025-03-24 13:45:29,509 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    92. 

  92. 2025-03-24 13:45:30,903 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    93. 

  93. 2025-03-24 13:45:30,903 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    94. 

  94. 2025-03-24 13:45:32,707 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    95. 

  95. 2025-03-24 13:45:32,707 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    96. 

  96. 2025-03-24 13:46:39,831 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
    97. 

  97. 2025-03-24 13:46:45,627 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    98. 

  98. 2025-03-24 13:46:45,627 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    99. 

  99. 2025-03-24 13:51:45,261 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
    100. 

  100. 2025-03-24 13:51:53,136 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    101. 

  101. 2025-03-24 13:51:53,136 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    102. 

  102. 2025-03-24 13:52:00,456 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    103. 

  103. 2025-03-24 13:52:00,456 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    104. 

  104. 2025-03-24 13:52:01,275 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
    105. 

  105. 2025-03-24 13:52:01,275 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
    106. 

  106. 2025-03-24 13:52:02,405 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    107. 

  107. 2025-03-24 13:52:02,405 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    108. 

  108. 2025-03-24 13:52:35,673 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    109. 

  109. 2025-03-24 13:52:35,673 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    110. 

  110. 2025-03-24 13:52:35,674 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    111. 

  111. 2025-03-24 13:52:35,674 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    112. 

  112. 2025-03-24 13:52:35,717 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    113. 

  113. 2025-03-24 13:52:35,717 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    114. 

  114. 2025-03-24 13:52:35,717 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    115. 

  115. 2025-03-24 13:52:35,717 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    116. 

  116. 2025-03-24 13:52:35,717 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    117. 

  117. 2025-03-24 13:52:35,717 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    118. 

  118. 2025-03-24 13:52:35,719 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    119. 

  119. 2025-03-24 13:52:35,719 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    120. 

  120. 2025-03-24 13:52:35,719 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    121. 

  121. 2025-03-24 13:52:35,719 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    122. 

  122. 2025-03-24 13:52:35,720 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    123. 

  123. 2025-03-24 13:52:35,720 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    124. 

  124. 2025-03-24 13:52:35,724 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    125. 

  125. 2025-03-24 13:52:35,724 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    126. 

  126. 2025-03-24 13:52:35,725 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    127. 

  127. 2025-03-24 13:52:35,725 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    128. 

  128. 2025-03-24 13:52:35,731 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    129. 

  129. 2025-03-24 13:52:35,731 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    130. 

  130. 2025-03-24 13:52:35,732 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    131. 

  131. 2025-03-24 13:52:35,732 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    132. 

  132. 2025-03-24 13:52:35,733 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    133. 

  133. 2025-03-24 13:52:35,733 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    134. 

  134. 2025-03-24 13:52:35,733 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    135. 

  135. 2025-03-24 13:52:35,733 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    136. 

  136. 2025-03-24 13:52:35,734 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    137. 

  137. 2025-03-24 13:52:35,734 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    138. 

  138. 2025-03-24 13:52:35,735 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    139. 

  139. 2025-03-24 13:52:35,735 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    140. 

  140. 2025-03-24 13:52:35,736 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    141. 

  141. 2025-03-24 13:52:35,736 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    142. 

  142. 2025-03-24 13:52:35,736 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    143. 

  143. 2025-03-24 13:52:35,736 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    144. 

  144. 2025-03-24 13:52:35,737 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    145. 

  145. 2025-03-24 13:52:35,737 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    146. 

  146. 2025-03-24 13:52:35,737 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    147. 

  147. 2025-03-24 13:52:35,737 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    148. 

  148. 2025-03-24 13:52:35,738 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    149. 

  149. 2025-03-24 13:52:35,738 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    150. 

  150. 2025-03-24 13:52:35,739 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    151. 

  151. 2025-03-24 13:52:35,739 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    152. 

  152. 2025-03-24 13:52:35,740 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    153. 

  153. 2025-03-24 13:52:35,740 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    154. 

  154. 2025-03-24 13:52:35,740 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    155. 

  155. 2025-03-24 13:52:35,740 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    156. 

  156. 2025-03-24 13:52:35,740 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    157. 

  157. 2025-03-24 13:52:35,740 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    158. 

  158. 2025-03-24 13:52:35,757 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    159. 

  159. 2025-03-24 13:52:35,757 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    160. 

  160. 2025-03-24 13:52:35,758 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    161. 

  161. 2025-03-24 13:52:35,758 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    162. 

  162. 2025-03-24 13:52:35,759 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    163. 

  163. 2025-03-24 13:52:35,759 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    164. 

  164. 2025-03-24 13:52:35,760 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    165. 

  165. 2025-03-24 13:52:35,760 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    166. 

  166. 2025-03-24 13:52:35,762 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    167. 

  167. 2025-03-24 13:52:35,762 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    168. 

  168. 2025-03-24 13:52:35,762 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    169. 

  169. 2025-03-24 13:52:35,762 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    170. 

  170. 2025-03-24 13:52:35,763 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    171. 

  171. 2025-03-24 13:52:35,763 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    172. 

  172. 2025-03-24 13:52:35,763 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    173. 

  173. 2025-03-24 13:52:35,763 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    174. 

  174. 2025-03-24 13:52:35,765 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    175. 

  175. 2025-03-24 13:52:35,765 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    176. 

  176. 2025-03-24 13:52:35,765 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    177. 

  177. 2025-03-24 13:52:35,765 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    178. 

  178. 2025-03-24 13:52:35,766 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    179. 

  179. 2025-03-24 13:52:35,766 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    180. 

  180. 2025-03-24 13:52:35,766 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    181. 

  181. 2025-03-24 13:52:35,766 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    182. 

  182. 2025-03-24 13:52:35,766 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    183. 

  183. 2025-03-24 13:52:35,766 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    184. 

  184. 2025-03-24 13:52:35,766 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    185. 

  185. 2025-03-24 13:52:35,766 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    186. 

  186. 2025-03-24 13:52:35,769 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    187. 

  187. 2025-03-24 13:52:35,769 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    188. 

  188. 2025-03-24 13:55:48,345 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
    189. 

  189. 2025-03-24 13:56:03,005 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    190. 

  190. 2025-03-24 13:56:03,005 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    191. 

  191. 2025-03-24 13:56:39,018 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    192. 

  192. 2025-03-24 13:56:39,018 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    193. 

  193. 2025-03-24 13:56:39,914 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
    194. 

  194. 2025-03-24 13:56:39,914 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
    195. 

  195. 2025-03-24 13:57:44,922 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    196. 

  196. 2025-03-24 13:57:44,922 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    197. 

  197. 2025-03-24 13:58:13,514 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    198. 

  198. 2025-03-24 13:58:13,514 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    199. 

  199. 2025-03-24 13:58:13,514 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    200. 

  200. 2025-03-24 13:58:13,514 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    201. 

  201. 2025-03-24 13:58:13,563 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    202. 

  202. 2025-03-24 13:58:13,563 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    203. 

  203. 2025-03-24 13:58:13,564 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    204. 

  204. 2025-03-24 13:58:13,564 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    205. 

  205. 2025-03-24 13:58:13,564 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    206. 

  206. 2025-03-24 13:58:13,564 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    207. 

  207. 2025-03-24 13:58:13,566 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    208. 

  208. 2025-03-24 13:58:13,566 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    209. 

  209. 2025-03-24 13:58:13,567 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    210. 

  210. 2025-03-24 13:58:13,567 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    211. 

  211. 2025-03-24 13:58:13,567 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    212. 

  212. 2025-03-24 13:58:13,567 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    213. 

  213. 2025-03-24 13:58:13,572 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    214. 

  214. 2025-03-24 13:58:13,572 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    215. 

  215. 2025-03-24 13:58:13,572 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    216. 

  216. 2025-03-24 13:58:13,572 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    217. 

  217. 2025-03-24 13:58:13,580 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    218. 

  218. 2025-03-24 13:58:13,580 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    219. 

  219. 2025-03-24 13:58:13,580 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    220. 

  220. 2025-03-24 13:58:13,580 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    221. 

  221. 2025-03-24 13:58:13,581 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    222. 

  222. 2025-03-24 13:58:13,581 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    223. 

  223. 2025-03-24 13:58:13,582 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    224. 

  224. 2025-03-24 13:58:13,582 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    225. 

  225. 2025-03-24 13:58:13,583 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    226. 

  226. 2025-03-24 13:58:13,583 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    227. 

  227. 2025-03-24 13:58:13,583 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    228. 

  228. 2025-03-24 13:58:13,583 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    229. 

  229. 2025-03-24 13:58:13,585 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    230. 

  230. 2025-03-24 13:58:13,585 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    231. 

  231. 2025-03-24 13:58:13,585 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    232. 

  232. 2025-03-24 13:58:13,585 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    233. 

  233. 2025-03-24 13:58:13,586 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    234. 

  234. 2025-03-24 13:58:13,586 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    235. 

  235. 2025-03-24 13:58:13,587 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    236. 

  236. 2025-03-24 13:58:13,587 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    237. 

  237. 2025-03-24 13:58:13,588 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    238. 

  238. 2025-03-24 13:58:13,588 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    239. 

  239. 2025-03-24 13:58:13,588 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    240. 

  240. 2025-03-24 13:58:13,588 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    241. 

  241. 2025-03-24 13:58:13,589 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    242. 

  242. 2025-03-24 13:58:13,589 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    243. 

  243. 2025-03-24 13:58:13,590 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    244. 

  244. 2025-03-24 13:58:13,590 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    245. 

  245. 2025-03-24 13:58:13,590 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    246. 

  246. 2025-03-24 13:58:13,590 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    247. 

  247. 2025-03-24 13:58:13,610 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    248. 

  248. 2025-03-24 13:58:13,610 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    249. 

  249. 2025-03-24 13:58:13,610 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    250. 

  250. 2025-03-24 13:58:13,610 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    251. 

  251. 2025-03-24 13:58:13,612 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    252. 

  252. 2025-03-24 13:58:13,612 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    253. 

  253. 2025-03-24 13:58:13,612 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    254. 

  254. 2025-03-24 13:58:13,612 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    255. 

  255. 2025-03-24 13:58:13,614 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    256. 

  256. 2025-03-24 13:58:13,614 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    257. 

  257. 2025-03-24 13:58:13,615 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    258. 

  258. 2025-03-24 13:58:13,615 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    259. 

  259. 2025-03-24 13:58:13,616 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    260. 

  260. 2025-03-24 13:58:13,616 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    261. 

  261. 2025-03-24 13:58:13,616 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    262. 

  262. 2025-03-24 13:58:13,616 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    263. 

  263. 2025-03-24 13:58:13,617 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    264. 

  264. 2025-03-24 13:58:13,617 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    265. 

  265. 2025-03-24 13:58:13,617 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    266. 

  266. 2025-03-24 13:58:13,617 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    267. 

  267. 2025-03-24 13:58:13,618 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    268. 

  268. 2025-03-24 13:58:13,618 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    269. 

  269. 2025-03-24 13:58:13,619 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    270. 

  270. 2025-03-24 13:58:13,619 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    271. 

  271. 2025-03-24 13:58:13,619 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    272. 

  272. 2025-03-24 13:58:13,619 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    273. 

  273. 2025-03-24 13:58:13,620 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    274. 

  274. 2025-03-24 13:58:13,620 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    275. 

  275. 2025-03-24 13:58:13,622 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    276. 

  276. 2025-03-24 13:58:13,622 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    277. 

  277. 2025-03-24 13:58:50,311 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
    278. 

  278. 2025-03-24 14:00:20,832 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    279. 

  279. 2025-03-24 14:00:20,832 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    280. 

  280. 2025-03-24 14:00:26,349 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    281. 

  281. 2025-03-24 14:00:26,349 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    282. 

  282. 2025-03-24 14:00:27,004 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
    283. 

  283. 2025-03-24 14:00:27,004 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
    284. 

  284. 2025-03-24 14:00:27,800 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    285. 

  285. 2025-03-24 14:00:27,800 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    286. 

  286. 2025-03-24 14:00:33,614 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    287. 

  287. 2025-03-24 14:00:33,614 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    288. 

  288. 2025-03-24 14:00:33,614 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    289. 

  289. 2025-03-24 14:00:33,614 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    290. 

  290. 2025-03-24 14:00:33,658 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    291. 

  291. 2025-03-24 14:00:33,658 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    292. 

  292. 2025-03-24 14:00:33,659 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    293. 

  293. 2025-03-24 14:00:33,659 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    294. 

  294. 2025-03-24 14:00:33,659 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    295. 

  295. 2025-03-24 14:00:33,659 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    296. 

  296. 2025-03-24 14:00:33,661 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    297. 

  297. 2025-03-24 14:00:33,661 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    298. 

  298. 2025-03-24 14:00:33,661 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    299. 

  299. 2025-03-24 14:00:33,661 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    300. 

  300. 2025-03-24 14:00:33,661 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    301. 

  301. 2025-03-24 14:00:33,661 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    302. 

  302. 2025-03-24 14:00:33,666 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    303. 

  303. 2025-03-24 14:00:33,666 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    304. 

  304. 2025-03-24 14:00:33,666 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    305. 

  305. 2025-03-24 14:00:33,666 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    306. 

  306. 2025-03-24 14:00:33,673 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    307. 

  307. 2025-03-24 14:00:33,673 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    308. 

  308. 2025-03-24 14:00:33,673 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    309. 

  309. 2025-03-24 14:00:33,673 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    310. 

  310. 2025-03-24 14:00:33,674 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    311. 

  311. 2025-03-24 14:00:33,674 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    312. 

  312. 2025-03-24 14:00:33,674 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    313. 

  313. 2025-03-24 14:00:33,674 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    314. 

  314. 2025-03-24 14:00:33,675 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    315. 

  315. 2025-03-24 14:00:33,675 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    316. 

  316. 2025-03-24 14:00:33,677 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    317. 

  317. 2025-03-24 14:00:33,677 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    318. 

  318. 2025-03-24 14:00:33,678 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    319. 

  319. 2025-03-24 14:00:33,678 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    320. 

  320. 2025-03-24 14:00:33,678 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    321. 

  321. 2025-03-24 14:00:33,678 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    322. 

  322. 2025-03-24 14:00:33,679 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    323. 

  323. 2025-03-24 14:00:33,679 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    324. 

  324. 2025-03-24 14:00:33,679 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    325. 

  325. 2025-03-24 14:00:33,679 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    326. 

  326. 2025-03-24 14:00:33,681 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    327. 

  327. 2025-03-24 14:00:33,681 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    328. 

  328. 2025-03-24 14:00:33,681 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    329. 

  329. 2025-03-24 14:00:33,681 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    330. 

  330. 2025-03-24 14:00:33,682 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    331. 

  331. 2025-03-24 14:00:33,682 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    332. 

  332. 2025-03-24 14:00:33,682 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    333. 

  333. 2025-03-24 14:00:33,682 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    334. 

  334. 2025-03-24 14:00:33,682 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    335. 

  335. 2025-03-24 14:00:33,682 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    336. 

  336. 2025-03-24 14:00:33,699 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    337. 

  337. 2025-03-24 14:00:33,699 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    338. 

  338. 2025-03-24 14:00:33,700 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    339. 

  339. 2025-03-24 14:00:33,700 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    340. 

  340. 2025-03-24 14:00:33,702 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    341. 

  341. 2025-03-24 14:00:33,702 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    342. 

  342. 2025-03-24 14:00:33,703 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    343. 

  343. 2025-03-24 14:00:33,703 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    344. 

  344. 2025-03-24 14:00:33,704 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    345. 

  345. 2025-03-24 14:00:33,704 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    346. 

  346. 2025-03-24 14:00:33,705 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    347. 

  347. 2025-03-24 14:00:33,705 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    348. 

  348. 2025-03-24 14:00:33,705 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    349. 

  349. 2025-03-24 14:00:33,705 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    350. 

  350. 2025-03-24 14:00:33,705 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    351. 

  351. 2025-03-24 14:00:33,705 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    352. 

  352. 2025-03-24 14:00:33,706 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    353. 

  353. 2025-03-24 14:00:33,706 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    354. 

  354. 2025-03-24 14:00:33,707 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    355. 

  355. 2025-03-24 14:00:33,707 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    356. 

  356. 2025-03-24 14:00:33,707 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    357. 

  357. 2025-03-24 14:00:33,707 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    358. 

  358. 2025-03-24 14:00:33,708 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    359. 

  359. 2025-03-24 14:00:33,708 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    360. 

  360. 2025-03-24 14:00:33,709 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    361. 

  361. 2025-03-24 14:00:33,709 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    362. 

  362. 2025-03-24 14:00:33,709 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    363. 

  363. 2025-03-24 14:00:33,709 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    364. 

  364. 2025-03-24 14:00:33,710 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    365. 

  365. 2025-03-24 14:00:33,710 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    366. 

  366. 2025-03-24 14:01:32,184 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
    367. 

  367. 2025-03-24 14:02:07,495 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    368. 

  368. 2025-03-24 14:02:07,495 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    369. 

  369. 2025-03-24 14:02:09,451 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    370. 

  370. 2025-03-24 14:02:09,451 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    371. 

  371. 2025-03-24 14:02:10,109 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
    372. 

  372. 2025-03-24 14:02:10,109 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
    373. 

  373. 2025-03-24 14:02:10,924 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    374. 

  374. 2025-03-24 14:02:10,924 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    375. 

  375. 2025-03-24 14:02:14,842 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    376. 

  376. 2025-03-24 14:02:14,842 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    377. 

  377. 2025-03-24 14:02:14,843 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    378. 

  378. 2025-03-24 14:02:14,843 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    379. 

  379. 2025-03-24 14:02:14,888 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    380. 

  380. 2025-03-24 14:02:14,888 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    381. 

  381. 2025-03-24 14:02:14,888 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    382. 

  382. 2025-03-24 14:02:14,888 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    383. 

  383. 2025-03-24 14:02:14,888 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    384. 

  384. 2025-03-24 14:02:14,888 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    385. 

  385. 2025-03-24 14:02:14,891 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    386. 

  386. 2025-03-24 14:02:14,891 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    387. 

  387. 2025-03-24 14:02:14,891 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    388. 

  388. 2025-03-24 14:02:14,891 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    389. 

  389. 2025-03-24 14:02:14,891 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    390. 

  390. 2025-03-24 14:02:14,891 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    391. 

  391. 2025-03-24 14:02:14,896 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    392. 

  392. 2025-03-24 14:02:14,896 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    393. 

  393. 2025-03-24 14:02:14,896 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    394. 

  394. 2025-03-24 14:02:14,896 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    395. 

  395. 2025-03-24 14:02:14,903 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    396. 

  396. 2025-03-24 14:02:14,903 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    397. 

  397. 2025-03-24 14:02:14,903 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    398. 

  398. 2025-03-24 14:02:14,903 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    399. 

  399. 2025-03-24 14:02:14,904 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    400. 

  400. 2025-03-24 14:02:14,904 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    401. 

  401. 2025-03-24 14:02:14,905 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    402. 

  402. 2025-03-24 14:02:14,905 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    403. 

  403. 2025-03-24 14:02:14,906 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    404. 

  404. 2025-03-24 14:02:14,906 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    405. 

  405. 2025-03-24 14:02:14,906 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    406. 

  406. 2025-03-24 14:02:14,906 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    407. 

  407. 2025-03-24 14:02:14,907 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    408. 

  408. 2025-03-24 14:02:14,907 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    409. 

  409. 2025-03-24 14:02:14,908 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    410. 

  410. 2025-03-24 14:02:14,908 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    411. 

  411. 2025-03-24 14:02:14,909 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    412. 

  412. 2025-03-24 14:02:14,909 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    413. 

  413. 2025-03-24 14:02:14,909 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    414. 

  414. 2025-03-24 14:02:14,909 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    415. 

  415. 2025-03-24 14:02:14,910 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    416. 

  416. 2025-03-24 14:02:14,910 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    417. 

  417. 2025-03-24 14:02:14,910 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    418. 

  418. 2025-03-24 14:02:14,910 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    419. 

  419. 2025-03-24 14:02:14,911 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    420. 

  420. 2025-03-24 14:02:14,911 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    421. 

  421. 2025-03-24 14:02:14,912 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    422. 

  422. 2025-03-24 14:02:14,912 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    423. 

  423. 2025-03-24 14:02:14,912 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    424. 

  424. 2025-03-24 14:02:14,912 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    425. 

  425. 2025-03-24 14:02:14,931 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    426. 

  426. 2025-03-24 14:02:14,931 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    427. 

  427. 2025-03-24 14:02:14,931 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    428. 

  428. 2025-03-24 14:02:14,931 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    429. 

  429. 2025-03-24 14:02:14,933 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    430. 

  430. 2025-03-24 14:02:14,933 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    431. 

  431. 2025-03-24 14:02:14,933 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    432. 

  432. 2025-03-24 14:02:14,933 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    433. 

  433. 2025-03-24 14:02:14,935 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    434. 

  434. 2025-03-24 14:02:14,935 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    435. 

  435. 2025-03-24 14:02:14,936 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    436. 

  436. 2025-03-24 14:02:14,936 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    437. 

  437. 2025-03-24 14:02:14,937 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    438. 

  438. 2025-03-24 14:02:14,937 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    439. 

  439. 2025-03-24 14:02:14,937 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    440. 

  440. 2025-03-24 14:02:14,937 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    441. 

  441. 2025-03-24 14:02:14,938 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    442. 

  442. 2025-03-24 14:02:14,938 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    443. 

  443. 2025-03-24 14:02:14,938 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    444. 

  444. 2025-03-24 14:02:14,938 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    445. 

  445. 2025-03-24 14:02:14,939 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    446. 

  446. 2025-03-24 14:02:14,939 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    447. 

  447. 2025-03-24 14:02:14,939 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    448. 

  448. 2025-03-24 14:02:14,939 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    449. 

  449. 2025-03-24 14:02:14,940 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    450. 

  450. 2025-03-24 14:02:14,940 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    451. 

  451. 2025-03-24 14:02:14,940 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    452. 

  452. 2025-03-24 14:02:14,940 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    453. 

  453. 2025-03-24 14:02:14,942 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    454. 

  454. 2025-03-24 14:02:14,942 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    455. 

  455. 2025-03-24 14:02:41,601 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
    456. 

  456. 2025-03-24 14:02:47,704 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    457. 

  457. 2025-03-24 14:02:47,704 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    458. 

  458. 2025-03-24 14:02:52,172 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    459. 

  459. 2025-03-24 14:02:52,172 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    460. 

  460. 2025-03-24 14:02:53,128 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
    461. 

  461. 2025-03-24 14:02:53,128 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
    462. 

  462. 2025-03-24 14:02:54,050 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    463. 

  463. 2025-03-24 14:02:54,050 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    464. 

  464. 2025-03-24 14:03:03,386 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    465. 

  465. 2025-03-24 14:03:03,386 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    466. 

  466. 2025-03-24 14:03:03,387 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    467. 

  467. 2025-03-24 14:03:03,387 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    468. 

  468. 2025-03-24 14:03:03,434 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    469. 

  469. 2025-03-24 14:03:03,434 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    470. 

  470. 2025-03-24 14:03:03,435 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    471. 

  471. 2025-03-24 14:03:03,435 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    472. 

  472. 2025-03-24 14:03:03,435 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    473. 

  473. 2025-03-24 14:03:03,435 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    474. 

  474. 2025-03-24 14:03:03,437 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    475. 

  475. 2025-03-24 14:03:03,437 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    476. 

  476. 2025-03-24 14:03:03,437 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    477. 

  477. 2025-03-24 14:03:03,437 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    478. 

  478. 2025-03-24 14:03:03,437 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    479. 

  479. 2025-03-24 14:03:03,437 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    480. 

  480. 2025-03-24 14:03:03,442 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    481. 

  481. 2025-03-24 14:03:03,442 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    482. 

  482. 2025-03-24 14:03:03,442 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    483. 

  483. 2025-03-24 14:03:03,442 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    484. 

  484. 2025-03-24 14:03:03,449 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    485. 

  485. 2025-03-24 14:03:03,449 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    486. 

  486. 2025-03-24 14:03:03,449 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    487. 

  487. 2025-03-24 14:03:03,449 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    488. 

  488. 2025-03-24 14:03:03,450 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    489. 

  489. 2025-03-24 14:03:03,450 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    490. 

  490. 2025-03-24 14:03:03,451 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    491. 

  491. 2025-03-24 14:03:03,451 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    492. 

  492. 2025-03-24 14:03:03,452 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    493. 

  493. 2025-03-24 14:03:03,452 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    494. 

  494. 2025-03-24 14:03:03,452 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    495. 

  495. 2025-03-24 14:03:03,452 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    496. 

  496. 2025-03-24 14:03:03,453 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    497. 

  497. 2025-03-24 14:03:03,453 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    498. 

  498. 2025-03-24 14:03:03,453 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    499. 

  499. 2025-03-24 14:03:03,453 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    500. 

  500. 2025-03-24 14:03:03,455 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    501. 

  501. 2025-03-24 14:03:03,455 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    502. 

  502. 2025-03-24 14:03:03,455 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    503. 

  503. 2025-03-24 14:03:03,455 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    504. 

  504. 2025-03-24 14:03:03,456 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    505. 

  505. 2025-03-24 14:03:03,456 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    506. 

  506. 2025-03-24 14:03:03,456 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    507. 

  507. 2025-03-24 14:03:03,456 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    508. 

  508. 2025-03-24 14:03:03,457 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    509. 

  509. 2025-03-24 14:03:03,457 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    510. 

  510. 2025-03-24 14:03:03,458 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    511. 

  511. 2025-03-24 14:03:03,458 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    512. 

  512. 2025-03-24 14:03:03,458 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    513. 

  513. 2025-03-24 14:03:03,458 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    514. 

  514. 2025-03-24 14:03:03,476 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    515. 

  515. 2025-03-24 14:03:03,476 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    516. 

  516. 2025-03-24 14:03:03,477 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    517. 

  517. 2025-03-24 14:03:03,477 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    518. 

  518. 2025-03-24 14:03:03,478 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    519. 

  519. 2025-03-24 14:03:03,478 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    520. 

  520. 2025-03-24 14:03:03,479 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    521. 

  521. 2025-03-24 14:03:03,479 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    522. 

  522. 2025-03-24 14:03:03,481 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    523. 

  523. 2025-03-24 14:03:03,481 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    524. 

  524. 2025-03-24 14:03:03,481 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    525. 

  525. 2025-03-24 14:03:03,481 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    526. 

  526. 2025-03-24 14:03:03,482 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    527. 

  527. 2025-03-24 14:03:03,482 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    528. 

  528. 2025-03-24 14:03:03,482 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    529. 

  529. 2025-03-24 14:03:03,482 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    530. 

  530. 2025-03-24 14:03:03,483 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    531. 

  531. 2025-03-24 14:03:03,483 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    532. 

  532. 2025-03-24 14:03:03,483 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    533. 

  533. 2025-03-24 14:03:03,483 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    534. 

  534. 2025-03-24 14:03:03,484 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    535. 

  535. 2025-03-24 14:03:03,484 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    536. 

  536. 2025-03-24 14:03:03,484 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    537. 

  537. 2025-03-24 14:03:03,484 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    538. 

  538. 2025-03-24 14:03:03,485 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    539. 

  539. 2025-03-24 14:03:03,485 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    540. 

  540. 2025-03-24 14:03:03,485 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    541. 

  541. 2025-03-24 14:03:03,485 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    542. 

  542. 2025-03-24 14:03:03,487 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    543. 

  543. 2025-03-24 14:03:03,487 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    544. 

  544. 2025-03-24 14:03:45,798 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
    545. 

  545. 2025-03-24 14:05:50,352 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    546. 

  546. 2025-03-24 14:05:50,352 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    547. 

  547. 2025-03-24 14:05:52,582 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    548. 

  548. 2025-03-24 14:05:52,582 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    549. 

  549. 2025-03-24 14:05:53,485 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
    550. 

  550. 2025-03-24 14:05:53,485 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
    551. 

  551. 2025-03-24 14:05:57,432 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    552. 

  552. 2025-03-24 14:05:57,432 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    553. 

  553. 2025-03-24 14:06:01,623 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    554. 

  554. 2025-03-24 14:06:01,623 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    555. 

  555. 2025-03-24 14:06:01,624 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    556. 

  556. 2025-03-24 14:06:01,624 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    557. 

  557. 2025-03-24 14:06:01,668 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    558. 

  558. 2025-03-24 14:06:01,668 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    559. 

  559. 2025-03-24 14:06:01,669 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    560. 

  560. 2025-03-24 14:06:01,669 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    561. 

  561. 2025-03-24 14:06:01,669 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    562. 

  562. 2025-03-24 14:06:01,669 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    563. 

  563. 2025-03-24 14:06:01,671 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    564. 

  564. 2025-03-24 14:06:01,671 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    565. 

  565. 2025-03-24 14:06:01,671 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    566. 

  566. 2025-03-24 14:06:01,671 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    567. 

  567. 2025-03-24 14:06:01,671 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    568. 

  568. 2025-03-24 14:06:01,671 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    569. 

  569. 2025-03-24 14:06:01,676 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    570. 

  570. 2025-03-24 14:06:01,676 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    571. 

  571. 2025-03-24 14:06:01,676 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    572. 

  572. 2025-03-24 14:06:01,676 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    573. 

  573. 2025-03-24 14:06:01,683 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    574. 

  574. 2025-03-24 14:06:01,683 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    575. 

  575. 2025-03-24 14:06:01,684 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    576. 

  576. 2025-03-24 14:06:01,684 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    577. 

  577. 2025-03-24 14:06:01,685 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    578. 

  578. 2025-03-24 14:06:01,685 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    579. 

  579. 2025-03-24 14:06:01,685 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    580. 

  580. 2025-03-24 14:06:01,685 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    581. 

  581. 2025-03-24 14:06:01,686 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    582. 

  582. 2025-03-24 14:06:01,686 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    583. 

  583. 2025-03-24 14:06:01,686 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    584. 

  584. 2025-03-24 14:06:01,686 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    585. 

  585. 2025-03-24 14:06:01,687 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    586. 

  586. 2025-03-24 14:06:01,687 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    587. 

  587. 2025-03-24 14:06:01,688 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    588. 

  588. 2025-03-24 14:06:01,688 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    589. 

  589. 2025-03-24 14:06:01,689 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    590. 

  590. 2025-03-24 14:06:01,689 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    591. 

  591. 2025-03-24 14:06:01,689 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    592. 

  592. 2025-03-24 14:06:01,689 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    593. 

  593. 2025-03-24 14:06:01,690 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    594. 

  594. 2025-03-24 14:06:01,690 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    595. 

  595. 2025-03-24 14:06:01,691 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    596. 

  596. 2025-03-24 14:06:01,691 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    597. 

  597. 2025-03-24 14:06:01,692 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    598. 

  598. 2025-03-24 14:06:01,692 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    599. 

  599. 2025-03-24 14:06:01,692 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    600. 

  600. 2025-03-24 14:06:01,692 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    601. 

  601. 2025-03-24 14:06:01,692 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    602. 

  602. 2025-03-24 14:06:01,692 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    603. 

  603. 2025-03-24 14:06:01,709 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    604. 

  604. 2025-03-24 14:06:01,709 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    605. 

  605. 2025-03-24 14:06:01,710 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    606. 

  606. 2025-03-24 14:06:01,710 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    607. 

  607. 2025-03-24 14:06:01,711 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    608. 

  608. 2025-03-24 14:06:01,711 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    609. 

  609. 2025-03-24 14:06:01,712 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    610. 

  610. 2025-03-24 14:06:01,712 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    611. 

  611. 2025-03-24 14:06:01,714 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    612. 

  612. 2025-03-24 14:06:01,714 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    613. 

  613. 2025-03-24 14:06:01,714 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    614. 

  614. 2025-03-24 14:06:01,714 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    615. 

  615. 2025-03-24 14:06:01,715 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    616. 

  616. 2025-03-24 14:06:01,715 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    617. 

  617. 2025-03-24 14:06:01,715 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    618. 

  618. 2025-03-24 14:06:01,715 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    619. 

  619. 2025-03-24 14:06:01,716 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    620. 

  620. 2025-03-24 14:06:01,716 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    621. 

  621. 2025-03-24 14:06:01,716 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    622. 

  622. 2025-03-24 14:06:01,716 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    623. 

  623. 2025-03-24 14:06:01,717 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    624. 

  624. 2025-03-24 14:06:01,717 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    625. 

  625. 2025-03-24 14:06:01,717 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    626. 

  626. 2025-03-24 14:06:01,717 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    627. 

  627. 2025-03-24 14:06:01,720 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    628. 

  628. 2025-03-24 14:06:01,720 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    629. 

  629. 2025-03-24 14:06:01,720 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    630. 

  630. 2025-03-24 14:06:01,720 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    631. 

  631. 2025-03-24 14:06:01,722 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    632. 

  632. 2025-03-24 14:06:01,722 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    633. 

  633. 2025-03-24 14:06:47,048 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
    634. 

  634. 2025-03-24 14:06:47,139 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    635. 

  635. 2025-03-24 14:06:47,139 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    636. 

  636. 2025-03-24 14:06:47,193 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    637. 

  637. 2025-03-24 14:06:47,193 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    638. 

  638. 2025-03-24 14:06:47,202 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
    639. 

  639. 2025-03-24 14:06:47,202 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
    640. 

  640. 2025-03-24 14:06:47,216 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    641. 

  641. 2025-03-24 14:06:47,216 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    642. 

  642. 2025-03-24 14:06:47,226 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    643. 

  643. 2025-03-24 14:06:47,226 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    644. 

  644. 2025-03-24 14:06:47,227 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    645. 

  645. 2025-03-24 14:06:47,227 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    646. 

  646. 2025-03-24 14:06:47,259 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    647. 

  647. 2025-03-24 14:06:47,259 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    648. 

  648. 2025-03-24 14:06:47,259 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    649. 

  649. 2025-03-24 14:06:47,259 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    650. 

  650. 2025-03-24 14:06:47,259 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    651. 

  651. 2025-03-24 14:06:47,259 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    652. 

  652. 2025-03-24 14:06:47,261 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    653. 

  653. 2025-03-24 14:06:47,261 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    654. 

  654. 2025-03-24 14:06:47,261 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    655. 

  655. 2025-03-24 14:06:47,261 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    656. 

  656. 2025-03-24 14:06:47,261 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    657. 

  657. 2025-03-24 14:06:47,261 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    658. 

  658. 2025-03-24 14:06:47,264 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    659. 

  659. 2025-03-24 14:06:47,264 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    660. 

  660. 2025-03-24 14:06:47,265 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    661. 

  661. 2025-03-24 14:06:47,265 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    662. 

  662. 2025-03-24 14:06:47,271 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    663. 

  663. 2025-03-24 14:06:47,271 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    664. 

  664. 2025-03-24 14:06:47,271 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    665. 

  665. 2025-03-24 14:06:47,271 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    666. 

  666. 2025-03-24 14:06:47,272 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    667. 

  667. 2025-03-24 14:06:47,272 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    668. 

  668. 2025-03-24 14:06:47,272 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    669. 

  669. 2025-03-24 14:06:47,272 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    670. 

  670. 2025-03-24 14:06:47,273 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    671. 

  671. 2025-03-24 14:06:47,273 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    672. 

  672. 2025-03-24 14:06:47,273 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    673. 

  673. 2025-03-24 14:06:47,273 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    674. 

  674. 2025-03-24 14:06:47,274 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    675. 

  675. 2025-03-24 14:06:47,274 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    676. 

  676. 2025-03-24 14:06:47,274 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    677. 

  677. 2025-03-24 14:06:47,274 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    678. 

  678. 2025-03-24 14:06:47,275 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    679. 

  679. 2025-03-24 14:06:47,275 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    680. 

  680. 2025-03-24 14:06:47,275 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    681. 

  681. 2025-03-24 14:06:47,275 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    682. 

  682. 2025-03-24 14:06:47,276 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    683. 

  683. 2025-03-24 14:06:47,276 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    684. 

  684. 2025-03-24 14:06:47,276 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    685. 

  685. 2025-03-24 14:06:47,276 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    686. 

  686. 2025-03-24 14:06:47,277 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    687. 

  687. 2025-03-24 14:06:47,277 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    688. 

  688. 2025-03-24 14:06:47,277 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    689. 

  689. 2025-03-24 14:06:47,277 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    690. 

  690. 2025-03-24 14:06:47,277 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    691. 

  691. 2025-03-24 14:06:47,277 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    692. 

  692. 2025-03-24 14:06:47,290 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    693. 

  693. 2025-03-24 14:06:47,290 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    694. 

  694. 2025-03-24 14:06:47,290 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    695. 

  695. 2025-03-24 14:06:47,290 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    696. 

  696. 2025-03-24 14:06:47,292 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    697. 

  697. 2025-03-24 14:06:47,292 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    698. 

  698. 2025-03-24 14:06:47,292 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    699. 

  699. 2025-03-24 14:06:47,292 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    700. 

  700. 2025-03-24 14:06:47,294 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    701. 

  701. 2025-03-24 14:06:47,294 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    702. 

  702. 2025-03-24 14:06:47,294 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    703. 

  703. 2025-03-24 14:06:47,294 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    704. 

  704. 2025-03-24 14:06:47,295 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    705. 

  705. 2025-03-24 14:06:47,295 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    706. 

  706. 2025-03-24 14:06:47,295 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    707. 

  707. 2025-03-24 14:06:47,295 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    708. 

  708. 2025-03-24 14:06:47,296 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    709. 

  709. 2025-03-24 14:06:47,296 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    710. 

  710. 2025-03-24 14:06:47,296 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    711. 

  711. 2025-03-24 14:06:47,296 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    712. 

  712. 2025-03-24 14:06:47,296 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    713. 

  713. 2025-03-24 14:06:47,296 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    714. 

  714. 2025-03-24 14:06:47,297 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    715. 

  715. 2025-03-24 14:06:47,297 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    716. 

  716. 2025-03-24 14:06:47,298 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    717. 

  717. 2025-03-24 14:06:47,298 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    718. 

  718. 2025-03-24 14:06:47,298 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    719. 

  719. 2025-03-24 14:06:47,298 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    720. 

  720. 2025-03-24 14:06:47,299 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    721. 

  721. 2025-03-24 14:06:47,299 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    722. 

  722. 2025-03-24 14:06:47,314 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
    723. 

  723. 2025-03-24 14:06:47,314 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
    724. 

  724. 2025-03-24 14:06:47,317 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
    725. 

  725. 2025-03-24 14:06:47,317 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
    726. 

  726. 2025-03-24 14:06:47,319 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
    727. 

  727. 2025-03-24 14:06:47,319 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
    728. 

  728. 2025-03-24 14:06:47,320 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    729. 

  729. 2025-03-24 14:06:47,320 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    730. 

  730. 2025-03-24 14:06:47,321 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    731. 

  731. 2025-03-24 14:06:47,321 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    732. 

  732. 2025-03-24 14:06:47,322 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    733. 

  733. 2025-03-24 14:06:47,322 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    734. 

  734. 2025-03-24 14:06:47,324 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    735. 

  735. 2025-03-24 14:06:47,324 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    736. 

  736. 2025-03-24 14:06:47,325 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    737. 

  737. 2025-03-24 14:06:47,325 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    738. 

  738. 2025-03-24 14:06:47,326 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
    739. 

  739. 2025-03-24 14:06:47,326 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
    740. 

  740. 2025-03-24 14:06:47,328 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
    741. 

  741. 2025-03-24 14:06:47,328 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
    742. 

  742. 2025-03-24 14:06:47,329 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
    743. 

  743. 2025-03-24 14:06:47,329 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
    744. 

  744. 2025-03-24 14:06:47,330 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    745. 

  745. 2025-03-24 14:06:47,330 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    746. 

  746. 2025-03-24 14:06:47,331 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    747. 

  747. 2025-03-24 14:06:47,331 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    748. 

  748. 2025-03-24 14:06:47,332 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    749. 

  749. 2025-03-24 14:06:47,332 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    750. 

  750. 2025-03-24 14:06:47,333 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
    751. 

  751. 2025-03-24 14:06:47,333 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
    752. 

  752. 2025-03-24 14:06:47,333 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
    753. 

  753. 2025-03-24 14:06:47,333 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
    754. 

  754. 2025-03-24 14:08:23,701 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
    755. 

  755. 2025-03-24 14:08:33,180 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    756. 

  756. 2025-03-24 14:08:33,180 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    757. 

  757. 2025-03-24 14:09:10,234 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    758. 

  758. 2025-03-24 14:09:10,234 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    759. 

  759. 2025-03-24 14:09:11,058 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
    760. 

  760. 2025-03-24 14:09:11,058 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
    761. 

  761. 2025-03-24 14:09:18,484 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    762. 

  762. 2025-03-24 14:09:18,484 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    763. 

  763. 2025-03-24 14:09:26,287 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    764. 

  764. 2025-03-24 14:09:26,287 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    765. 

  765. 2025-03-24 14:09:26,288 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    766. 

  766. 2025-03-24 14:09:26,288 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    767. 

  767. 2025-03-24 14:09:26,337 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    768. 

  768. 2025-03-24 14:09:26,337 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    769. 

  769. 2025-03-24 14:09:26,337 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    770. 

  770. 2025-03-24 14:09:26,337 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    771. 

  771. 2025-03-24 14:09:26,337 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    772. 

  772. 2025-03-24 14:09:26,337 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    773. 

  773. 2025-03-24 14:09:26,340 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    774. 

  774. 2025-03-24 14:09:26,340 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    775. 

  775. 2025-03-24 14:09:26,340 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    776. 

  776. 2025-03-24 14:09:26,340 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    777. 

  777. 2025-03-24 14:09:26,341 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    778. 

  778. 2025-03-24 14:09:26,341 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    779. 

  779. 2025-03-24 14:09:26,345 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    780. 

  780. 2025-03-24 14:09:26,345 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    781. 

  781. 2025-03-24 14:09:26,346 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    782. 

  782. 2025-03-24 14:09:26,346 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    783. 

  783. 2025-03-24 14:09:26,352 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    784. 

  784. 2025-03-24 14:09:26,352 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    785. 

  785. 2025-03-24 14:09:26,353 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    786. 

  786. 2025-03-24 14:09:26,353 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    787. 

  787. 2025-03-24 14:09:26,354 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    788. 

  788. 2025-03-24 14:09:26,354 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    789. 

  789. 2025-03-24 14:09:26,354 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    790. 

  790. 2025-03-24 14:09:26,354 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    791. 

  791. 2025-03-24 14:09:26,355 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    792. 

  792. 2025-03-24 14:09:26,355 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    793. 

  793. 2025-03-24 14:09:26,355 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    794. 

  794. 2025-03-24 14:09:26,355 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    795. 

  795. 2025-03-24 14:09:26,356 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    796. 

  796. 2025-03-24 14:09:26,356 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    797. 

  797. 2025-03-24 14:09:26,356 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    798. 

  798. 2025-03-24 14:09:26,356 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    799. 

  799. 2025-03-24 14:09:26,358 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    800. 

  800. 2025-03-24 14:09:26,358 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    801. 

  801. 2025-03-24 14:09:26,358 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    802. 

  802. 2025-03-24 14:09:26,358 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    803. 

  803. 2025-03-24 14:09:26,360 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    804. 

  804. 2025-03-24 14:09:26,360 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    805. 

  805. 2025-03-24 14:09:26,360 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    806. 

  806. 2025-03-24 14:09:26,360 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    807. 

  807. 2025-03-24 14:09:26,361 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    808. 

  808. 2025-03-24 14:09:26,361 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    809. 

  809. 2025-03-24 14:09:26,361 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    810. 

  810. 2025-03-24 14:09:26,361 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    811. 

  811. 2025-03-24 14:09:26,361 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    812. 

  812. 2025-03-24 14:09:26,361 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    813. 

  813. 2025-03-24 14:09:26,378 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    814. 

  814. 2025-03-24 14:09:26,378 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    815. 

  815. 2025-03-24 14:09:26,378 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    816. 

  816. 2025-03-24 14:09:26,378 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    817. 

  817. 2025-03-24 14:09:26,380 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    818. 

  818. 2025-03-24 14:09:26,380 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    819. 

  819. 2025-03-24 14:09:26,380 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    820. 

  820. 2025-03-24 14:09:26,380 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    821. 

  821. 2025-03-24 14:09:26,383 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    822. 

  822. 2025-03-24 14:09:26,383 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    823. 

  823. 2025-03-24 14:09:26,384 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    824. 

  824. 2025-03-24 14:09:26,384 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    825. 

  825. 2025-03-24 14:09:26,384 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    826. 

  826. 2025-03-24 14:09:26,384 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    827. 

  827. 2025-03-24 14:09:26,385 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    828. 

  828. 2025-03-24 14:09:26,385 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    829. 

  829. 2025-03-24 14:09:26,386 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    830. 

  830. 2025-03-24 14:09:26,386 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    831. 

  831. 2025-03-24 14:09:26,386 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    832. 

  832. 2025-03-24 14:09:26,386 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    833. 

  833. 2025-03-24 14:09:26,387 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    834. 

  834. 2025-03-24 14:09:26,387 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    835. 

  835. 2025-03-24 14:09:26,387 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    836. 

  836. 2025-03-24 14:09:26,387 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    837. 

  837. 2025-03-24 14:09:26,388 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    838. 

  838. 2025-03-24 14:09:26,388 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    839. 

  839. 2025-03-24 14:09:26,388 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    840. 

  840. 2025-03-24 14:09:26,388 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    841. 

  841. 2025-03-24 14:09:26,390 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    842. 

  842. 2025-03-24 14:09:26,390 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    843. 

  843. 2025-03-24 14:09:48,716 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
    844. 

  844. 2025-03-24 14:09:48,716 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
    845. 

  845. 2025-03-24 14:10:10,085 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
    846. 

  846. 2025-03-24 14:10:10,085 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
    847. 

  847. 2025-03-24 14:10:15,635 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
    848. 

  848. 2025-03-24 14:10:15,635 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
    849. 

  849. 2025-03-24 14:10:15,640 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    850. 

  850. 2025-03-24 14:10:15,640 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    851. 

  851. 2025-03-24 14:10:15,646 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    852. 

  852. 2025-03-24 14:10:15,646 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    853. 

  853. 2025-03-24 14:10:15,651 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    854. 

  854. 2025-03-24 14:10:15,651 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    855. 

  855. 2025-03-24 14:10:15,656 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    856. 

  856. 2025-03-24 14:10:15,656 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    857. 

  857. 2025-03-24 14:10:15,661 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    858. 

  858. 2025-03-24 14:10:15,661 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    859. 

  859. 2025-03-24 14:10:15,668 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
    860. 

  860. 2025-03-24 14:10:15,668 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
    861. 

  861. 2025-03-24 14:10:15,673 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
    862. 

  862. 2025-03-24 14:10:15,673 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
    863. 

  863. 2025-03-24 14:10:15,678 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
    864. 

  864. 2025-03-24 14:10:15,678 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
    865. 

  865. 2025-03-24 14:10:15,683 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    866. 

  866. 2025-03-24 14:10:15,683 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    867. 

  867. 2025-03-24 14:10:15,688 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    868. 

  868. 2025-03-24 14:10:15,688 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    869. 

  869. 2025-03-24 14:10:15,693 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    870. 

  870. 2025-03-24 14:10:15,693 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    871. 

  871. 2025-03-24 14:10:15,698 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
    872. 

  872. 2025-03-24 14:10:15,698 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
    873. 

  873. 2025-03-24 14:10:15,698 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
    874. 

  874. 2025-03-24 14:10:15,698 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
    875. 

  875. 2025-03-24 14:14:47,904 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
    876. 

  876. 2025-03-24 14:15:26,351 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    877. 

  877. 2025-03-24 14:15:26,351 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    878. 

  878. 2025-03-24 14:15:33,842 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    879. 

  879. 2025-03-24 14:15:33,842 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    880. 

  880. 2025-03-24 14:15:34,623 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
    881. 

  881. 2025-03-24 14:15:34,623 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
    882. 

  882. 2025-03-24 14:15:35,632 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    883. 

  883. 2025-03-24 14:15:35,632 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    884. 

  884. 2025-03-24 14:15:52,668 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    885. 

  885. 2025-03-24 14:15:52,668 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    886. 

  886. 2025-03-24 14:15:52,669 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    887. 

  887. 2025-03-24 14:15:52,669 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    888. 

  888. 2025-03-24 14:15:52,719 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    889. 

  889. 2025-03-24 14:15:52,719 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    890. 

  890. 2025-03-24 14:15:52,720 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    891. 

  891. 2025-03-24 14:15:52,720 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    892. 

  892. 2025-03-24 14:15:52,720 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    893. 

  893. 2025-03-24 14:15:52,720 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    894. 

  894. 2025-03-24 14:15:52,721 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    895. 

  895. 2025-03-24 14:15:52,721 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    896. 

  896. 2025-03-24 14:15:52,722 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    897. 

  897. 2025-03-24 14:15:52,722 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    898. 

  898. 2025-03-24 14:15:52,722 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    899. 

  899. 2025-03-24 14:15:52,722 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    900. 

  900. 2025-03-24 14:15:52,727 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    901. 

  901. 2025-03-24 14:15:52,727 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    902. 

  902. 2025-03-24 14:15:52,727 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    903. 

  903. 2025-03-24 14:15:52,727 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    904. 

  904. 2025-03-24 14:15:52,735 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    905. 

  905. 2025-03-24 14:15:52,735 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    906. 

  906. 2025-03-24 14:15:52,736 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    907. 

  907. 2025-03-24 14:15:52,736 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    908. 

  908. 2025-03-24 14:15:52,737 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    909. 

  909. 2025-03-24 14:15:52,737 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    910. 

  910. 2025-03-24 14:15:52,737 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    911. 

  911. 2025-03-24 14:15:52,737 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    912. 

  912. 2025-03-24 14:15:52,738 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    913. 

  913. 2025-03-24 14:15:52,738 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    914. 

  914. 2025-03-24 14:15:52,739 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    915. 

  915. 2025-03-24 14:15:52,739 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    916. 

  916. 2025-03-24 14:15:52,740 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    917. 

  917. 2025-03-24 14:15:52,740 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    918. 

  918. 2025-03-24 14:15:52,740 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    919. 

  919. 2025-03-24 14:15:52,740 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    920. 

  920. 2025-03-24 14:15:52,741 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    921. 

  921. 2025-03-24 14:15:52,741 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    922. 

  922. 2025-03-24 14:15:52,741 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    923. 

  923. 2025-03-24 14:15:52,741 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    924. 

  924. 2025-03-24 14:15:52,742 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    925. 

  925. 2025-03-24 14:15:52,742 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    926. 

  926. 2025-03-24 14:15:52,743 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    927. 

  927. 2025-03-24 14:15:52,743 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    928. 

  928. 2025-03-24 14:15:52,744 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    929. 

  929. 2025-03-24 14:15:52,744 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    930. 

  930. 2025-03-24 14:15:52,744 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    931. 

  931. 2025-03-24 14:15:52,744 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    932. 

  932. 2025-03-24 14:15:52,744 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    933. 

  933. 2025-03-24 14:15:52,744 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    934. 

  934. 2025-03-24 14:15:52,761 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    935. 

  935. 2025-03-24 14:15:52,761 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    936. 

  936. 2025-03-24 14:15:52,762 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    937. 

  937. 2025-03-24 14:15:52,762 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    938. 

  938. 2025-03-24 14:15:52,764 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    939. 

  939. 2025-03-24 14:15:52,764 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    940. 

  940. 2025-03-24 14:15:52,764 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    941. 

  941. 2025-03-24 14:15:52,764 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    942. 

  942. 2025-03-24 14:15:52,766 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    943. 

  943. 2025-03-24 14:15:52,766 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    944. 

  944. 2025-03-24 14:15:52,766 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    945. 

  945. 2025-03-24 14:15:52,766 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    946. 

  946. 2025-03-24 14:15:52,767 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    947. 

  947. 2025-03-24 14:15:52,767 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    948. 

  948. 2025-03-24 14:15:52,767 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    949. 

  949. 2025-03-24 14:15:52,767 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    950. 

  950. 2025-03-24 14:15:52,768 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    951. 

  951. 2025-03-24 14:15:52,768 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    952. 

  952. 2025-03-24 14:15:52,768 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    953. 

  953. 2025-03-24 14:15:52,768 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    954. 

  954. 2025-03-24 14:15:52,769 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    955. 

  955. 2025-03-24 14:15:52,769 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    956. 

  956. 2025-03-24 14:15:52,770 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    957. 

  957. 2025-03-24 14:15:52,770 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    958. 

  958. 2025-03-24 14:15:52,771 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    959. 

  959. 2025-03-24 14:15:52,771 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    960. 

  960. 2025-03-24 14:15:52,771 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    961. 

  961. 2025-03-24 14:15:52,771 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    962. 

  962. 2025-03-24 14:15:52,773 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    963. 

  963. 2025-03-24 14:15:52,773 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    964. 

  964. 2025-03-24 14:16:15,850 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
    965. 

  965. 2025-03-24 14:16:15,850 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
    966. 

  966. 2025-03-24 14:16:15,858 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
    967. 

  967. 2025-03-24 14:16:15,858 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
    968. 

  968. 2025-03-24 14:16:15,863 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
    969. 

  969. 2025-03-24 14:16:15,863 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
    970. 

  970. 2025-03-24 14:16:15,869 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    971. 

  971. 2025-03-24 14:16:15,869 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    972. 

  972. 2025-03-24 14:16:15,874 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    973. 

  973. 2025-03-24 14:16:15,874 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    974. 

  974. 2025-03-24 14:16:15,879 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    975. 

  975. 2025-03-24 14:16:15,879 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    976. 

  976. 2025-03-24 14:16:15,884 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    977. 

  977. 2025-03-24 14:16:15,884 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    978. 

  978. 2025-03-24 14:16:15,889 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    979. 

  979. 2025-03-24 14:16:15,889 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    980. 

  980. 2025-03-24 14:16:15,895 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
    981. 

  981. 2025-03-24 14:16:15,895 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
    982. 

  982. 2025-03-24 14:16:15,900 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
    983. 

  983. 2025-03-24 14:16:15,900 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
    984. 

  984. 2025-03-24 14:16:15,905 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
    985. 

  985. 2025-03-24 14:16:15,905 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
    986. 

  986. 2025-03-24 14:16:15,910 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    987. 

  987. 2025-03-24 14:16:15,910 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    988. 

  988. 2025-03-24 14:16:15,914 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    989. 

  989. 2025-03-24 14:16:15,914 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    990. 

  990. 2025-03-24 14:16:15,920 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    991. 

  991. 2025-03-24 14:16:15,920 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    992. 

  992. 2025-03-24 14:16:15,925 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
    993. 

  993. 2025-03-24 14:16:15,925 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
    994. 

  994. 2025-03-24 14:16:15,925 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
    995. 

  995. 2025-03-24 14:16:15,925 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
    996. 

  996. 2025-03-24 14:17:08,386 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
    997. 

  997. 2025-03-24 14:17:08,478 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    998. 

  998. 2025-03-24 14:17:08,478 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    999. 

  999. 2025-03-24 14:17:08,533 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    1000. 

  1000. 2025-03-24 14:17:08,533 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    1001. 

  1001. 2025-03-24 14:17:08,542 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
    1002. 

  1002. 2025-03-24 14:17:08,542 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
    1003. 

  1003. 2025-03-24 14:17:08,558 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    1004. 

  1004. 2025-03-24 14:17:08,558 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    1005. 

  1005. 2025-03-24 14:17:08,568 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    1006. 

  1006. 2025-03-24 14:17:08,568 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    1007. 

  1007. 2025-03-24 14:17:08,569 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    1008. 

  1008. 2025-03-24 14:17:08,569 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    1009. 

  1009. 2025-03-24 14:17:08,603 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    1010. 

  1010. 2025-03-24 14:17:08,603 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    1011. 

  1011. 2025-03-24 14:17:08,604 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    1012. 

  1012. 2025-03-24 14:17:08,604 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    1013. 

  1013. 2025-03-24 14:17:08,604 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    1014. 

  1014. 2025-03-24 14:17:08,604 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    1015. 

  1015. 2025-03-24 14:17:08,605 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    1016. 

  1016. 2025-03-24 14:17:08,605 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    1017. 

  1017. 2025-03-24 14:17:08,605 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    1018. 

  1018. 2025-03-24 14:17:08,605 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    1019. 

  1019. 2025-03-24 14:17:08,605 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    1020. 

  1020. 2025-03-24 14:17:08,605 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    1021. 

  1021. 2025-03-24 14:17:08,609 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    1022. 

  1022. 2025-03-24 14:17:08,609 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    1023. 

  1023. 2025-03-24 14:17:08,609 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    1024. 

  1024. 2025-03-24 14:17:08,609 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    1025. 

  1025. 2025-03-24 14:17:08,615 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    1026. 

  1026. 2025-03-24 14:17:08,615 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    1027. 

  1027. 2025-03-24 14:17:08,615 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1028. 

  1028. 2025-03-24 14:17:08,615 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1029. 

  1029. 2025-03-24 14:17:08,616 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    1030. 

  1030. 2025-03-24 14:17:08,616 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    1031. 

  1031. 2025-03-24 14:17:08,616 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1032. 

  1032. 2025-03-24 14:17:08,616 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1033. 

  1033. 2025-03-24 14:17:08,617 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    1034. 

  1034. 2025-03-24 14:17:08,617 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    1035. 

  1035. 2025-03-24 14:17:08,617 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1036. 

  1036. 2025-03-24 14:17:08,617 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1037. 

  1037. 2025-03-24 14:17:08,618 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    1038. 

  1038. 2025-03-24 14:17:08,618 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    1039. 

  1039. 2025-03-24 14:17:08,618 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1040. 

  1040. 2025-03-24 14:17:08,618 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1041. 

  1041. 2025-03-24 14:17:08,619 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    1042. 

  1042. 2025-03-24 14:17:08,619 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    1043. 

  1043. 2025-03-24 14:17:08,619 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1044. 

  1044. 2025-03-24 14:17:08,619 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1045. 

  1045. 2025-03-24 14:17:08,620 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    1046. 

  1046. 2025-03-24 14:17:08,620 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    1047. 

  1047. 2025-03-24 14:17:08,620 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1048. 

  1048. 2025-03-24 14:17:08,620 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1049. 

  1049. 2025-03-24 14:17:08,621 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    1050. 

  1050. 2025-03-24 14:17:08,621 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    1051. 

  1051. 2025-03-24 14:17:08,621 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    1052. 

  1052. 2025-03-24 14:17:08,621 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    1053. 

  1053. 2025-03-24 14:17:08,621 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    1054. 

  1054. 2025-03-24 14:17:08,621 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    1055. 

  1055. 2025-03-24 14:17:08,635 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    1056. 

  1056. 2025-03-24 14:17:08,635 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    1057. 

  1057. 2025-03-24 14:17:08,635 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    1058. 

  1058. 2025-03-24 14:17:08,635 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    1059. 

  1059. 2025-03-24 14:17:08,637 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    1060. 

  1060. 2025-03-24 14:17:08,637 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    1061. 

  1061. 2025-03-24 14:17:08,637 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    1062. 

  1062. 2025-03-24 14:17:08,637 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    1063. 

  1063. 2025-03-24 14:17:08,638 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    1064. 

  1064. 2025-03-24 14:17:08,638 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    1065. 

  1065. 2025-03-24 14:17:08,638 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1066. 

  1066. 2025-03-24 14:17:08,638 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1067. 

  1067. 2025-03-24 14:17:08,639 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    1068. 

  1068. 2025-03-24 14:17:08,639 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    1069. 

  1069. 2025-03-24 14:17:08,639 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1070. 

  1070. 2025-03-24 14:17:08,639 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1071. 

  1071. 2025-03-24 14:17:08,640 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    1072. 

  1072. 2025-03-24 14:17:08,640 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    1073. 

  1073. 2025-03-24 14:17:08,640 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1074. 

  1074. 2025-03-24 14:17:08,640 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1075. 

  1075. 2025-03-24 14:17:08,641 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    1076. 

  1076. 2025-03-24 14:17:08,641 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    1077. 

  1077. 2025-03-24 14:17:08,641 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1078. 

  1078. 2025-03-24 14:17:08,641 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1079. 

  1079. 2025-03-24 14:17:08,642 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    1080. 

  1080. 2025-03-24 14:17:08,642 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    1081. 

  1081. 2025-03-24 14:17:08,642 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    1082. 

  1082. 2025-03-24 14:17:08,642 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    1083. 

  1083. 2025-03-24 14:17:08,643 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    1084. 

  1084. 2025-03-24 14:17:08,643 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    1085. 

  1085. 2025-03-24 14:17:08,645 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
    1086. 

  1086. 2025-03-24 14:17:08,645 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
    1087. 

  1087. 2025-03-24 14:17:08,648 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
    1088. 

  1088. 2025-03-24 14:17:08,648 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
    1089. 

  1089. 2025-03-24 14:17:08,649 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
    1090. 

  1090. 2025-03-24 14:17:08,649 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
    1091. 

  1091. 2025-03-24 14:17:08,651 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    1092. 

  1092. 2025-03-24 14:17:08,651 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    1093. 

  1093. 2025-03-24 14:17:08,652 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    1094. 

  1094. 2025-03-24 14:17:08,652 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    1095. 

  1095. 2025-03-24 14:17:08,653 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1096. 

  1096. 2025-03-24 14:17:08,653 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1097. 

  1097. 2025-03-24 14:17:08,654 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1098. 

  1098. 2025-03-24 14:17:08,654 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1099. 

  1099. 2025-03-24 14:17:08,655 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1100. 

  1100. 2025-03-24 14:17:08,655 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1101. 

  1101. 2025-03-24 14:17:08,656 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
    1102. 

  1102. 2025-03-24 14:17:08,656 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
    1103. 

  1103. 2025-03-24 14:17:08,658 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
    1104. 

  1104. 2025-03-24 14:17:08,658 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
    1105. 

  1105. 2025-03-24 14:17:08,659 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
    1106. 

  1106. 2025-03-24 14:17:08,659 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
    1107. 

  1107. 2025-03-24 14:17:08,660 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1108. 

  1108. 2025-03-24 14:17:08,660 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1109. 

  1109. 2025-03-24 14:17:08,661 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1110. 

  1110. 2025-03-24 14:17:08,661 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1111. 

  1111. 2025-03-24 14:17:08,663 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1112. 

  1112. 2025-03-24 14:17:08,663 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1113. 

  1113. 2025-03-24 14:17:08,664 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
    1114. 

  1114. 2025-03-24 14:17:08,664 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
    1115. 

  1115. 2025-03-24 14:17:08,664 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
    1116. 

  1116. 2025-03-24 14:17:08,664 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
    1117. 

  1117. 2025-03-24 14:17:11,137 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1118. 

  1118. 2025-03-24 14:17:11,137 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1119. 

  1119. 2025-03-24 14:17:11,137 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1120. 

  1120. 2025-03-24 14:17:11,137 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1121. 

  1121. 2025-03-24 14:17:11,137 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1122. 

  1122. 2025-03-24 14:17:11,137 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1123. 

  1123. 2025-03-24 14:17:11,137 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1124. 

  1124. 2025-03-24 14:17:11,137 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1125. 

  1125. 2025-03-24 14:17:11,138 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1126. 

  1126. 2025-03-24 14:17:11,138 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1127. 

  1127. 2025-03-24 14:17:11,138 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1128. 

  1128. 2025-03-24 14:17:11,138 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1129. 

  1129. 2025-03-24 14:17:11,138 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1130. 

  1130. 2025-03-24 14:17:11,138 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1131. 

  1131. 2025-03-24 14:17:11,138 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1132. 

  1132. 2025-03-24 14:17:11,138 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1133. 

  1133. 2025-03-24 14:17:11,303 - tf_lstm.py - INFO - 加强训练加载模型权重失败:("'Namespace' object has no attribute 'region'",) - train_init
    1134. 

  1134. 2025-03-24 14:17:11,303 - tf_lstm.py - INFO - 加强训练加载模型权重失败:("'Namespace' object has no attribute 'region'",) - train_init
    1135. 

  1135. 2025-03-24 14:17:43,296 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
    1136. 

  1136. 2025-03-24 14:17:43,387 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    1137. 

  1137. 2025-03-24 14:17:43,387 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    1138. 

  1138. 2025-03-24 14:17:43,440 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    1139. 

  1139. 2025-03-24 14:17:43,440 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    1140. 

  1140. 2025-03-24 14:17:43,449 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
    1141. 

  1141. 2025-03-24 14:17:43,449 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
    1142. 

  1142. 2025-03-24 14:17:43,465 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    1143. 

  1143. 2025-03-24 14:17:43,465 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    1144. 

  1144. 2025-03-24 14:17:43,475 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    1145. 

  1145. 2025-03-24 14:17:43,475 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    1146. 

  1146. 2025-03-24 14:17:43,475 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    1147. 

  1147. 2025-03-24 14:17:43,475 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    1148. 

  1148. 2025-03-24 14:17:43,508 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    1149. 

  1149. 2025-03-24 14:17:43,508 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    1150. 

  1150. 2025-03-24 14:17:43,508 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    1151. 

  1151. 2025-03-24 14:17:43,508 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    1152. 

  1152. 2025-03-24 14:17:43,509 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    1153. 

  1153. 2025-03-24 14:17:43,509 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    1154. 

  1154. 2025-03-24 14:17:43,510 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    1155. 

  1155. 2025-03-24 14:17:43,510 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    1156. 

  1156. 2025-03-24 14:17:43,510 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    1157. 

  1157. 2025-03-24 14:17:43,510 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    1158. 

  1158. 2025-03-24 14:17:43,510 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    1159. 

  1159. 2025-03-24 14:17:43,510 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    1160. 

  1160. 2025-03-24 14:17:43,514 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    1161. 

  1161. 2025-03-24 14:17:43,514 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    1162. 

  1162. 2025-03-24 14:17:43,514 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    1163. 

  1163. 2025-03-24 14:17:43,514 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    1164. 

  1164. 2025-03-24 14:17:43,519 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    1165. 

  1165. 2025-03-24 14:17:43,519 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    1166. 

  1166. 2025-03-24 14:17:43,519 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1167. 

  1167. 2025-03-24 14:17:43,519 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1168. 

  1168. 2025-03-24 14:17:43,520 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    1169. 

  1169. 2025-03-24 14:17:43,520 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    1170. 

  1170. 2025-03-24 14:17:43,520 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1171. 

  1171. 2025-03-24 14:17:43,520 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1172. 

  1172. 2025-03-24 14:17:43,521 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    1173. 

  1173. 2025-03-24 14:17:43,521 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    1174. 

  1174. 2025-03-24 14:17:43,521 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1175. 

  1175. 2025-03-24 14:17:43,521 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1176. 

  1176. 2025-03-24 14:17:43,522 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    1177. 

  1177. 2025-03-24 14:17:43,522 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    1178. 

  1178. 2025-03-24 14:17:43,522 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1179. 

  1179. 2025-03-24 14:17:43,522 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1180. 

  1180. 2025-03-24 14:17:43,523 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    1181. 

  1181. 2025-03-24 14:17:43,523 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    1182. 

  1182. 2025-03-24 14:17:43,523 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1183. 

  1183. 2025-03-24 14:17:43,523 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1184. 

  1184. 2025-03-24 14:17:43,524 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    1185. 

  1185. 2025-03-24 14:17:43,524 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    1186. 

  1186. 2025-03-24 14:17:43,524 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1187. 

  1187. 2025-03-24 14:17:43,524 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1188. 

  1188. 2025-03-24 14:17:43,525 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    1189. 

  1189. 2025-03-24 14:17:43,525 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    1190. 

  1190. 2025-03-24 14:17:43,525 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    1191. 

  1191. 2025-03-24 14:17:43,525 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    1192. 

  1192. 2025-03-24 14:17:43,525 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    1193. 

  1193. 2025-03-24 14:17:43,525 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    1194. 

  1194. 2025-03-24 14:17:43,539 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    1195. 

  1195. 2025-03-24 14:17:43,539 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    1196. 

  1196. 2025-03-24 14:17:43,539 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    1197. 

  1197. 2025-03-24 14:17:43,539 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    1198. 

  1198. 2025-03-24 14:17:43,541 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    1199. 

  1199. 2025-03-24 14:17:43,541 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    1200. 

  1200. 2025-03-24 14:17:43,541 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    1201. 

  1201. 2025-03-24 14:17:43,541 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    1202. 

  1202. 2025-03-24 14:17:43,542 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    1203. 

  1203. 2025-03-24 14:17:43,542 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    1204. 

  1204. 2025-03-24 14:17:43,543 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1205. 

  1205. 2025-03-24 14:17:43,543 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1206. 

  1206. 2025-03-24 14:17:43,543 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    1207. 

  1207. 2025-03-24 14:17:43,543 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    1208. 

  1208. 2025-03-24 14:17:43,544 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1209. 

  1209. 2025-03-24 14:17:43,544 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1210. 

  1210. 2025-03-24 14:17:43,544 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    1211. 

  1211. 2025-03-24 14:17:43,544 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    1212. 

  1212. 2025-03-24 14:17:43,544 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1213. 

  1213. 2025-03-24 14:17:43,544 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1214. 

  1214. 2025-03-24 14:17:43,545 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    1215. 

  1215. 2025-03-24 14:17:43,545 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    1216. 

  1216. 2025-03-24 14:17:43,545 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1217. 

  1217. 2025-03-24 14:17:43,545 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1218. 

  1218. 2025-03-24 14:17:43,547 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    1219. 

  1219. 2025-03-24 14:17:43,547 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    1220. 

  1220. 2025-03-24 14:17:43,547 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    1221. 

  1221. 2025-03-24 14:17:43,547 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    1222. 

  1222. 2025-03-24 14:17:43,547 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    1223. 

  1223. 2025-03-24 14:17:43,547 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    1224. 

  1224. 2025-03-24 14:17:43,549 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
    1225. 

  1225. 2025-03-24 14:17:43,549 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
    1226. 

  1226. 2025-03-24 14:17:43,552 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
    1227. 

  1227. 2025-03-24 14:17:43,552 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
    1228. 

  1228. 2025-03-24 14:17:43,554 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
    1229. 

  1229. 2025-03-24 14:17:43,554 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
    1230. 

  1230. 2025-03-24 14:17:43,555 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    1231. 

  1231. 2025-03-24 14:17:43,555 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    1232. 

  1232. 2025-03-24 14:17:43,555 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    1233. 

  1233. 2025-03-24 14:17:43,555 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    1234. 

  1234. 2025-03-24 14:17:43,558 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1235. 

  1235. 2025-03-24 14:17:43,558 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1236. 

  1236. 2025-03-24 14:17:43,559 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1237. 

  1237. 2025-03-24 14:17:43,559 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1238. 

  1238. 2025-03-24 14:17:43,560 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1239. 

  1239. 2025-03-24 14:17:43,560 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1240. 

  1240. 2025-03-24 14:17:43,561 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
    1241. 

  1241. 2025-03-24 14:17:43,561 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
    1242. 

  1242. 2025-03-24 14:17:43,563 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
    1243. 

  1243. 2025-03-24 14:17:43,563 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
    1244. 

  1244. 2025-03-24 14:17:43,564 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
    1245. 

  1245. 2025-03-24 14:17:43,564 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
    1246. 

  1246. 2025-03-24 14:17:43,565 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1247. 

  1247. 2025-03-24 14:17:43,565 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1248. 

  1248. 2025-03-24 14:17:43,566 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1249. 

  1249. 2025-03-24 14:17:43,566 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1250. 

  1250. 2025-03-24 14:17:43,567 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1251. 

  1251. 2025-03-24 14:17:43,567 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1252. 

  1252. 2025-03-24 14:17:43,568 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
    1253. 

  1253. 2025-03-24 14:17:43,568 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
    1254. 

  1254. 2025-03-24 14:17:43,568 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
    1255. 

  1255. 2025-03-24 14:17:43,568 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
    1256. 

  1256. 2025-03-24 14:17:46,007 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1257. 

  1257. 2025-03-24 14:17:46,007 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1258. 

  1258. 2025-03-24 14:17:46,007 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1259. 

  1259. 2025-03-24 14:17:46,007 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1260. 

  1260. 2025-03-24 14:17:46,007 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1261. 

  1261. 2025-03-24 14:17:46,007 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1262. 

  1262. 2025-03-24 14:17:46,008 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1263. 

  1263. 2025-03-24 14:17:46,008 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1264. 

  1264. 2025-03-24 14:17:46,008 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1265. 

  1265. 2025-03-24 14:17:46,008 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1266. 

  1266. 2025-03-24 14:17:46,008 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1267. 

  1267. 2025-03-24 14:17:46,008 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1268. 

  1268. 2025-03-24 14:17:46,008 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1269. 

  1269. 2025-03-24 14:17:46,008 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1270. 

  1270. 2025-03-24 14:17:46,008 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1271. 

  1271. 2025-03-24 14:17:46,008 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1272. 

  1272. 2025-03-24 14:18:17,621 - dbmg.py - INFO - ❌ 系统异常: localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms), Timeout: 30s, Topology Description: <TopologyDescription id: 67e0f90b0d794513e3d462bd, topology_type: Unknown, servers: [<ServerDescription ('localhost', 30000) server_type: Unknown, rtt: None, error=AutoReconnect('localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms)')>]> - get_keras_model_from_mongo
    1273. 

  1273. 2025-03-24 14:18:17,621 - dbmg.py - INFO - ❌ 系统异常: localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms), Timeout: 30s, Topology Description: <TopologyDescription id: 67e0f90b0d794513e3d462bd, topology_type: Unknown, servers: [<ServerDescription ('localhost', 30000) server_type: Unknown, rtt: None, error=AutoReconnect('localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms)')>]> - get_keras_model_from_mongo
    1274. 

  1274. 2025-03-24 14:18:17,621 - tf_lstm.py - INFO - 加强训练加载模型权重失败:("localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms), Timeout: 30s, Topology Description: <TopologyDescription id: 67e0f90b0d794513e3d462bd, topology_type: Unknown, servers: [<ServerDescription ('localhost', 30000) server_type: Unknown, rtt: None, error=AutoReconnect('localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms)')>]>",) - train_init
    1275. 

  1275. 2025-03-24 14:18:17,621 - tf_lstm.py - INFO - 加强训练加载模型权重失败:("localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms), Timeout: 30s, Topology Description: <TopologyDescription id: 67e0f90b0d794513e3d462bd, topology_type: Unknown, servers: [<ServerDescription ('localhost', 30000) server_type: Unknown, rtt: None, error=AutoReconnect('localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms)')>]>",) - train_init
    1276. 

  1276. 2025-03-24 14:26:25,807 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
    1277. 

  1277. 2025-03-24 14:26:25,899 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    1278. 

  1278. 2025-03-24 14:26:25,899 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    1279. 

  1279. 2025-03-24 14:26:25,951 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    1280. 

  1280. 2025-03-24 14:26:25,951 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    1281. 

  1281. 2025-03-24 14:26:25,962 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
    1282. 

  1282. 2025-03-24 14:26:25,962 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
    1283. 

  1283. 2025-03-24 14:26:25,977 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    1284. 

  1284. 2025-03-24 14:26:25,977 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    1285. 

  1285. 2025-03-24 14:26:25,986 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    1286. 

  1286. 2025-03-24 14:26:25,986 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    1287. 

  1287. 2025-03-24 14:26:25,987 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    1288. 

  1288. 2025-03-24 14:26:25,987 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    1289. 

  1289. 2025-03-24 14:26:26,019 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    1290. 

  1290. 2025-03-24 14:26:26,019 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    1291. 

  1291. 2025-03-24 14:26:26,019 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    1292. 

  1292. 2025-03-24 14:26:26,019 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    1293. 

  1293. 2025-03-24 14:26:26,020 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    1294. 

  1294. 2025-03-24 14:26:26,020 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    1295. 

  1295. 2025-03-24 14:26:26,021 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    1296. 

  1296. 2025-03-24 14:26:26,021 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    1297. 

  1297. 2025-03-24 14:26:26,021 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    1298. 

  1298. 2025-03-24 14:26:26,021 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    1299. 

  1299. 2025-03-24 14:26:26,021 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    1300. 

  1300. 2025-03-24 14:26:26,021 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    1301. 

  1301. 2025-03-24 14:26:26,025 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    1302. 

  1302. 2025-03-24 14:26:26,025 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    1303. 

  1303. 2025-03-24 14:26:26,025 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    1304. 

  1304. 2025-03-24 14:26:26,025 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    1305. 

  1305. 2025-03-24 14:26:26,030 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    1306. 

  1306. 2025-03-24 14:26:26,030 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    1307. 

  1307. 2025-03-24 14:26:26,030 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1308. 

  1308. 2025-03-24 14:26:26,030 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1309. 

  1309. 2025-03-24 14:26:26,031 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    1310. 

  1310. 2025-03-24 14:26:26,031 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    1311. 

  1311. 2025-03-24 14:26:26,032 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1312. 

  1312. 2025-03-24 14:26:26,032 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1313. 

  1313. 2025-03-24 14:26:26,033 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    1314. 

  1314. 2025-03-24 14:26:26,033 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    1315. 

  1315. 2025-03-24 14:26:26,033 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1316. 

  1316. 2025-03-24 14:26:26,033 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1317. 

  1317. 2025-03-24 14:26:26,034 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    1318. 

  1318. 2025-03-24 14:26:26,034 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    1319. 

  1319. 2025-03-24 14:26:26,034 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1320. 

  1320. 2025-03-24 14:26:26,034 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1321. 

  1321. 2025-03-24 14:26:26,035 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    1322. 

  1322. 2025-03-24 14:26:26,035 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    1323. 

  1323. 2025-03-24 14:26:26,035 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1324. 

  1324. 2025-03-24 14:26:26,035 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1325. 

  1325. 2025-03-24 14:26:26,036 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    1326. 

  1326. 2025-03-24 14:26:26,036 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    1327. 

  1327. 2025-03-24 14:26:26,036 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1328. 

  1328. 2025-03-24 14:26:26,036 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1329. 

  1329. 2025-03-24 14:26:26,037 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    1330. 

  1330. 2025-03-24 14:26:26,037 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    1331. 

  1331. 2025-03-24 14:26:26,037 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    1332. 

  1332. 2025-03-24 14:26:26,037 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    1333. 

  1333. 2025-03-24 14:26:26,037 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    1334. 

  1334. 2025-03-24 14:26:26,037 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    1335. 

  1335. 2025-03-24 14:26:26,050 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    1336. 

  1336. 2025-03-24 14:26:26,050 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    1337. 

  1337. 2025-03-24 14:26:26,050 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    1338. 

  1338. 2025-03-24 14:26:26,050 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    1339. 

  1339. 2025-03-24 14:26:26,052 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    1340. 

  1340. 2025-03-24 14:26:26,052 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    1341. 

  1341. 2025-03-24 14:26:26,052 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    1342. 

  1342. 2025-03-24 14:26:26,052 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    1343. 

  1343. 2025-03-24 14:26:26,054 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    1344. 

  1344. 2025-03-24 14:26:26,054 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    1345. 

  1345. 2025-03-24 14:26:26,054 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1346. 

  1346. 2025-03-24 14:26:26,054 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1347. 

  1347. 2025-03-24 14:26:26,055 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    1348. 

  1348. 2025-03-24 14:26:26,055 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    1349. 

  1349. 2025-03-24 14:26:26,055 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1350. 

  1350. 2025-03-24 14:26:26,055 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1351. 

  1351. 2025-03-24 14:26:26,055 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    1352. 

  1352. 2025-03-24 14:26:26,055 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    1353. 

  1353. 2025-03-24 14:26:26,056 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1354. 

  1354. 2025-03-24 14:26:26,056 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1355. 

  1355. 2025-03-24 14:26:26,056 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    1356. 

  1356. 2025-03-24 14:26:26,056 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    1357. 

  1357. 2025-03-24 14:26:26,057 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1358. 

  1358. 2025-03-24 14:26:26,057 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1359. 

  1359. 2025-03-24 14:26:26,058 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    1360. 

  1360. 2025-03-24 14:26:26,058 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    1361. 

  1361. 2025-03-24 14:26:26,058 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    1362. 

  1362. 2025-03-24 14:26:26,058 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    1363. 

  1363. 2025-03-24 14:26:26,059 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    1364. 

  1364. 2025-03-24 14:26:26,059 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    1365. 

  1365. 2025-03-24 14:26:26,061 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
    1366. 

  1366. 2025-03-24 14:26:26,061 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
    1367. 

  1367. 2025-03-24 14:26:26,064 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
    1368. 

  1368. 2025-03-24 14:26:26,064 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
    1369. 

  1369. 2025-03-24 14:26:26,065 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
    1370. 

  1370. 2025-03-24 14:26:26,065 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
    1371. 

  1371. 2025-03-24 14:26:26,066 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    1372. 

  1372. 2025-03-24 14:26:26,066 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    1373. 

  1373. 2025-03-24 14:26:26,068 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    1374. 

  1374. 2025-03-24 14:26:26,068 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    1375. 

  1375. 2025-03-24 14:26:26,069 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1376. 

  1376. 2025-03-24 14:26:26,069 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1377. 

  1377. 2025-03-24 14:26:26,070 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1378. 

  1378. 2025-03-24 14:26:26,070 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1379. 

  1379. 2025-03-24 14:26:26,071 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1380. 

  1380. 2025-03-24 14:26:26,071 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1381. 

  1381. 2025-03-24 14:26:26,072 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
    1382. 

  1382. 2025-03-24 14:26:26,072 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
    1383. 

  1383. 2025-03-24 14:26:26,074 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
    1384. 

  1384. 2025-03-24 14:26:26,074 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
    1385. 

  1385. 2025-03-24 14:26:26,075 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
    1386. 

  1386. 2025-03-24 14:26:26,075 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
    1387. 

  1387. 2025-03-24 14:26:26,076 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1388. 

  1388. 2025-03-24 14:26:26,076 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1389. 

  1389. 2025-03-24 14:26:26,077 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1390. 

  1390. 2025-03-24 14:26:26,077 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1391. 

  1391. 2025-03-24 14:26:26,078 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1392. 

  1392. 2025-03-24 14:26:26,078 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1393. 

  1393. 2025-03-24 14:26:26,079 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
    1394. 

  1394. 2025-03-24 14:26:26,079 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
    1395. 

  1395. 2025-03-24 14:26:26,079 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
    1396. 

  1396. 2025-03-24 14:26:26,079 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
    1397. 

  1397. 2025-03-24 14:26:28,528 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1398. 

  1398. 2025-03-24 14:26:28,528 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1399. 

  1399. 2025-03-24 14:26:28,528 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1400. 

  1400. 2025-03-24 14:26:28,528 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1401. 

  1401. 2025-03-24 14:26:28,528 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1402. 

  1402. 2025-03-24 14:26:28,528 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1403. 

  1403. 2025-03-24 14:26:28,528 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1404. 

  1404. 2025-03-24 14:26:28,528 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1405. 

  1405. 2025-03-24 14:26:28,528 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1406. 

  1406. 2025-03-24 14:26:28,528 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1407. 

  1407. 2025-03-24 14:26:28,528 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1408. 

  1408. 2025-03-24 14:26:28,528 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1409. 

  1409. 2025-03-24 14:26:28,528 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1410. 

  1410. 2025-03-24 14:26:28,528 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1411. 

  1411. 2025-03-24 14:26:28,529 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1412. 

  1412. 2025-03-24 14:26:28,529 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1413. 

  1413. 2025-03-24 14:26:59,156 - dbmg.py - INFO - ❌ 系统异常: localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms), Timeout: 30s, Topology Description: <TopologyDescription id: 67e0fb1483b52fc31f8c1fb6, topology_type: Unknown, servers: [<ServerDescription ('localhost', 30000) server_type: Unknown, rtt: None, error=AutoReconnect('localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms)')>]> - get_keras_model_from_mongo
    1414. 

  1414. 2025-03-24 14:26:59,156 - dbmg.py - INFO - ❌ 系统异常: localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms), Timeout: 30s, Topology Description: <TopologyDescription id: 67e0fb1483b52fc31f8c1fb6, topology_type: Unknown, servers: [<ServerDescription ('localhost', 30000) server_type: Unknown, rtt: None, error=AutoReconnect('localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms)')>]> - get_keras_model_from_mongo
    1415. 

  1415. 2025-03-24 14:26:59,156 - tf_lstm.py - INFO - 加强训练加载模型权重失败:("localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms), Timeout: 30s, Topology Description: <TopologyDescription id: 67e0fb1483b52fc31f8c1fb6, topology_type: Unknown, servers: [<ServerDescription ('localhost', 30000) server_type: Unknown, rtt: None, error=AutoReconnect('localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms)')>]>",) - train_init
    1416. 

  1416. 2025-03-24 14:26:59,156 - tf_lstm.py - INFO - 加强训练加载模型权重失败:("localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms), Timeout: 30s, Topology Description: <TopologyDescription id: 67e0fb1483b52fc31f8c1fb6, topology_type: Unknown, servers: [<ServerDescription ('localhost', 30000) server_type: Unknown, rtt: None, error=AutoReconnect('localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms)')>]>",) - train_init
    1417. 

  1417. 2025-03-24 14:27:07,323 - tf_lstm.py - INFO - -----模型训练经过29轮迭代----- - training
    1418. 

  1418. 2025-03-24 14:27:07,323 - tf_lstm.py - INFO - -----模型训练经过29轮迭代----- - training
    1419. 

  1419. 2025-03-24 14:27:07,324 - tf_lstm.py - INFO - 训练集损失函数为：[1.00327 0.49229 0.39207 0.34791 0.32165 0.30181 0.28801 0.27887 0.27322
    1420. 

  1420.  0.26835 0.26645 0.26336 0.26005 0.2585  0.25662 0.2548  0.25582 0.25282
    1421. 

  1421.  0.25125 0.24861 0.24907 0.24693 0.24603 0.24661 0.24517 0.24441 0.24341
    1422. 

  1422.  0.24335 0.2432 ] - training
    1423. 

  1423. 2025-03-24 14:27:07,324 - tf_lstm.py - INFO - 训练集损失函数为：[1.00327 0.49229 0.39207 0.34791 0.32165 0.30181 0.28801 0.27887 0.27322
    1424. 

  1424.  0.26835 0.26645 0.26336 0.26005 0.2585  0.25662 0.2548  0.25582 0.25282
    1425. 

  1425.  0.25125 0.24861 0.24907 0.24693 0.24603 0.24661 0.24517 0.24441 0.24341
    1426. 

  1426.  0.24335 0.2432 ] - training
    1427. 

  1427. 2025-03-24 14:27:07,324 - tf_lstm.py - INFO - 验证集损失函数为：[0.62682 0.45493 0.412   0.38322 0.35102 0.33545 0.33059 0.32411 0.3199
    1428. 

  1428.  0.31783 0.31021 0.30707 0.30641 0.3031  0.3023  0.30111 0.29743 0.29568
    1429. 

  1429.  0.2948  0.29804 0.2949  0.29931 0.31209 0.31227 0.30851 0.30432 0.30713
    1430. 

  1430.  0.31534 0.31606] - training
    1431. 

  1431. 2025-03-24 14:27:07,324 - tf_lstm.py - INFO - 验证集损失函数为：[0.62682 0.45493 0.412   0.38322 0.35102 0.33545 0.33059 0.32411 0.3199
    1432. 

  1432.  0.31783 0.31021 0.30707 0.30641 0.3031  0.3023  0.30111 0.29743 0.29568
    1433. 

  1433.  0.2948  0.29804 0.2949  0.29931 0.31209 0.31227 0.30851 0.30432 0.30713
    1434. 

  1434.  0.31534 0.31606] - training
    1435. 

  1435. 2025-03-24 14:27:37,768 - dbmg.py - INFO - ❌ 数据库操作 - 详细错误: localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms), Timeout: 30s, Topology Description: <TopologyDescription id: 67e0fb3b83b52fc31f8c1fb7, topology_type: Unknown, servers: [<ServerDescription ('localhost', 30000) server_type: Unknown, rtt: None, error=AutoReconnect('localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms)')>]> - insert_trained_model_into_mongo
    1436. 

  1436. 2025-03-24 14:27:37,768 - dbmg.py - INFO - ❌ 数据库操作 - 详细错误: localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms), Timeout: 30s, Topology Description: <TopologyDescription id: 67e0fb3b83b52fc31f8c1fb7, topology_type: Unknown, servers: [<ServerDescription ('localhost', 30000) server_type: Unknown, rtt: None, error=AutoReconnect('localhost:30000: [WinError 10061] 由于目标计算机积极拒绝，无法连接。 (configured timeouts: socketTimeoutMS: 20000.0ms, connectTimeoutMS: 20000.0ms)')>]> - insert_trained_model_into_mongo
    1437. 

  1437. 2025-03-24 14:39:13,962 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
    1438. 

  1438. 2025-03-24 14:39:14,052 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    1439. 

  1439. 2025-03-24 14:39:14,052 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    1440. 

  1440. 2025-03-24 14:39:14,105 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    1441. 

  1441. 2025-03-24 14:39:14,105 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    1442. 

  1442. 2025-03-24 14:39:14,115 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
    1443. 

  1443. 2025-03-24 14:39:14,115 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
    1444. 

  1444. 2025-03-24 14:39:14,130 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    1445. 

  1445. 2025-03-24 14:39:14,130 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    1446. 

  1446. 2025-03-24 14:39:14,140 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    1447. 

  1447. 2025-03-24 14:39:14,140 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    1448. 

  1448. 2025-03-24 14:39:14,140 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    1449. 

  1449. 2025-03-24 14:39:14,140 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    1450. 

  1450. 2025-03-24 14:39:14,173 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    1451. 

  1451. 2025-03-24 14:39:14,173 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    1452. 

  1452. 2025-03-24 14:39:14,174 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    1453. 

  1453. 2025-03-24 14:39:14,174 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    1454. 

  1454. 2025-03-24 14:39:14,174 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    1455. 

  1455. 2025-03-24 14:39:14,174 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    1456. 

  1456. 2025-03-24 14:39:14,175 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    1457. 

  1457. 2025-03-24 14:39:14,175 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    1458. 

  1458. 2025-03-24 14:39:14,176 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    1459. 

  1459. 2025-03-24 14:39:14,176 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    1460. 

  1460. 2025-03-24 14:39:14,176 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    1461. 

  1461. 2025-03-24 14:39:14,176 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    1462. 

  1462. 2025-03-24 14:39:14,179 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    1463. 

  1463. 2025-03-24 14:39:14,179 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    1464. 

  1464. 2025-03-24 14:39:14,180 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    1465. 

  1465. 2025-03-24 14:39:14,180 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    1466. 

  1466. 2025-03-24 14:39:14,185 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    1467. 

  1467. 2025-03-24 14:39:14,185 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    1468. 

  1468. 2025-03-24 14:39:14,185 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1469. 

  1469. 2025-03-24 14:39:14,185 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1470. 

  1470. 2025-03-24 14:39:14,186 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    1471. 

  1471. 2025-03-24 14:39:14,186 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    1472. 

  1472. 2025-03-24 14:39:14,186 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1473. 

  1473. 2025-03-24 14:39:14,186 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1474. 

  1474. 2025-03-24 14:39:14,187 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    1475. 

  1475. 2025-03-24 14:39:14,187 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    1476. 

  1476. 2025-03-24 14:39:14,187 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1477. 

  1477. 2025-03-24 14:39:14,187 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1478. 

  1478. 2025-03-24 14:39:14,188 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    1479. 

  1479. 2025-03-24 14:39:14,188 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    1480. 

  1480. 2025-03-24 14:39:14,188 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1481. 

  1481. 2025-03-24 14:39:14,188 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1482. 

  1482. 2025-03-24 14:39:14,189 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    1483. 

  1483. 2025-03-24 14:39:14,189 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    1484. 

  1484. 2025-03-24 14:39:14,189 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1485. 

  1485. 2025-03-24 14:39:14,189 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1486. 

  1486. 2025-03-24 14:39:14,190 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    1487. 

  1487. 2025-03-24 14:39:14,190 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    1488. 

  1488. 2025-03-24 14:39:14,191 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1489. 

  1489. 2025-03-24 14:39:14,191 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1490. 

  1490. 2025-03-24 14:39:14,191 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    1491. 

  1491. 2025-03-24 14:39:14,191 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    1492. 

  1492. 2025-03-24 14:39:14,191 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    1493. 

  1493. 2025-03-24 14:39:14,191 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    1494. 

  1494. 2025-03-24 14:39:14,191 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    1495. 

  1495. 2025-03-24 14:39:14,191 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    1496. 

  1496. 2025-03-24 14:39:14,204 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    1497. 

  1497. 2025-03-24 14:39:14,204 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    1498. 

  1498. 2025-03-24 14:39:14,205 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    1499. 

  1499. 2025-03-24 14:39:14,205 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    1500. 

  1500. 2025-03-24 14:39:14,206 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    1501. 

  1501. 2025-03-24 14:39:14,206 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    1502. 

  1502. 2025-03-24 14:39:14,206 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    1503. 

  1503. 2025-03-24 14:39:14,206 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    1504. 

  1504. 2025-03-24 14:39:14,208 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    1505. 

  1505. 2025-03-24 14:39:14,208 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    1506. 

  1506. 2025-03-24 14:39:14,208 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1507. 

  1507. 2025-03-24 14:39:14,208 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1508. 

  1508. 2025-03-24 14:39:14,209 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    1509. 

  1509. 2025-03-24 14:39:14,209 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    1510. 

  1510. 2025-03-24 14:39:14,209 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1511. 

  1511. 2025-03-24 14:39:14,209 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1512. 

  1512. 2025-03-24 14:39:14,210 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    1513. 

  1513. 2025-03-24 14:39:14,210 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    1514. 

  1514. 2025-03-24 14:39:14,210 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1515. 

  1515. 2025-03-24 14:39:14,210 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1516. 

  1516. 2025-03-24 14:39:14,210 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    1517. 

  1517. 2025-03-24 14:39:14,210 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    1518. 

  1518. 2025-03-24 14:39:14,211 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1519. 

  1519. 2025-03-24 14:39:14,211 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1520. 

  1520. 2025-03-24 14:39:14,212 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    1521. 

  1521. 2025-03-24 14:39:14,212 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    1522. 

  1522. 2025-03-24 14:39:14,212 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    1523. 

  1523. 2025-03-24 14:39:14,212 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    1524. 

  1524. 2025-03-24 14:39:14,213 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    1525. 

  1525. 2025-03-24 14:39:14,213 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    1526. 

  1526. 2025-03-24 14:39:14,215 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
    1527. 

  1527. 2025-03-24 14:39:14,215 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
    1528. 

  1528. 2025-03-24 14:39:14,218 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
    1529. 

  1529. 2025-03-24 14:39:14,218 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
    1530. 

  1530. 2025-03-24 14:39:14,221 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
    1531. 

  1531. 2025-03-24 14:39:14,221 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
    1532. 

  1532. 2025-03-24 14:39:14,222 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    1533. 

  1533. 2025-03-24 14:39:14,222 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    1534. 

  1534. 2025-03-24 14:39:14,223 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    1535. 

  1535. 2025-03-24 14:39:14,223 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    1536. 

  1536. 2025-03-24 14:39:14,224 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1537. 

  1537. 2025-03-24 14:39:14,224 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1538. 

  1538. 2025-03-24 14:39:14,225 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1539. 

  1539. 2025-03-24 14:39:14,225 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1540. 

  1540. 2025-03-24 14:39:14,226 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1541. 

  1541. 2025-03-24 14:39:14,226 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1542. 

  1542. 2025-03-24 14:39:14,228 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
    1543. 

  1543. 2025-03-24 14:39:14,228 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
    1544. 

  1544. 2025-03-24 14:39:14,229 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
    1545. 

  1545. 2025-03-24 14:39:14,229 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
    1546. 

  1546. 2025-03-24 14:39:14,230 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
    1547. 

  1547. 2025-03-24 14:39:14,230 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
    1548. 

  1548. 2025-03-24 14:39:14,231 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1549. 

  1549. 2025-03-24 14:39:14,231 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1550. 

  1550. 2025-03-24 14:39:14,232 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1551. 

  1551. 2025-03-24 14:39:14,232 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1552. 

  1552. 2025-03-24 14:39:14,234 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1553. 

  1553. 2025-03-24 14:39:14,234 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1554. 

  1554. 2025-03-24 14:39:14,235 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
    1555. 

  1555. 2025-03-24 14:39:14,235 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
    1556. 

  1556. 2025-03-24 14:39:14,235 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
    1557. 

  1557. 2025-03-24 14:39:14,235 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
    1558. 

  1558. 2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1559. 

  1559. 2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1560. 

  1560. 2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1561. 

  1561. 2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1562. 

  1562. 2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1563. 

  1563. 2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1564. 

  1564. 2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1565. 

  1565. 2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1566. 

  1566. 2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1567. 

  1567. 2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1568. 

  1568. 2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1569. 

  1569. 2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1570. 

  1570. 2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1571. 

  1571. 2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1572. 

  1572. 2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1573. 

  1573. 2025-03-24 14:39:16,644 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1574. 

  1574. 2025-03-24 14:39:16,869 - dbmg.py - INFO - ❌ 系统异常: Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'} - get_keras_model_from_mongo
    1575. 

  1575. 2025-03-24 14:39:16,869 - dbmg.py - INFO - ❌ 系统异常: Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'} - get_keras_model_from_mongo
    1576. 

  1576. 2025-03-24 14:39:16,869 - tf_lstm.py - INFO - 加强训练加载模型权重失败:("Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'}",) - train_init
    1577. 

  1577. 2025-03-24 14:39:16,869 - tf_lstm.py - INFO - 加强训练加载模型权重失败:("Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'}",) - train_init
    1578. 

  1578. 2025-03-24 14:39:24,548 - tf_lstm.py - INFO - -----模型训练经过30轮迭代----- - training
    1579. 

  1579. 2025-03-24 14:39:24,548 - tf_lstm.py - INFO - -----模型训练经过30轮迭代----- - training
    1580. 

  1580. 2025-03-24 14:39:24,548 - tf_lstm.py - INFO - 训练集损失函数为：[1.03733 0.52583 0.41109 0.36099 0.32907 0.30621 0.29144 0.2818  0.27505
    1581. 

  1581.  0.27013 0.26655 0.26369 0.26149 0.2589  0.25674 0.25782 0.25556 0.25207
    1582. 

  1582.  0.25357 0.25184 0.24832 0.24895 0.24732 0.24703 0.25054 0.24537 0.24455
    1583. 

  1583.  0.24553 0.24316 0.24278] - training
    1584. 

  1584. 2025-03-24 14:39:24,548 - tf_lstm.py - INFO - 训练集损失函数为：[1.03733 0.52583 0.41109 0.36099 0.32907 0.30621 0.29144 0.2818  0.27505
    1585. 

  1585.  0.27013 0.26655 0.26369 0.26149 0.2589  0.25674 0.25782 0.25556 0.25207
    1586. 

  1586.  0.25357 0.25184 0.24832 0.24895 0.24732 0.24703 0.25054 0.24537 0.24455
    1587. 

  1587.  0.24553 0.24316 0.24278] - training
    1588. 

  1588. 2025-03-24 14:39:24,549 - tf_lstm.py - INFO - 验证集损失函数为：[0.6636  0.4821  0.42161 0.38494 0.35606 0.34022 0.3303  0.3229  0.31918
    1589. 

  1589.  0.31395 0.3101  0.30795 0.30661 0.30703 0.30823 0.3041  0.30008 0.30286
    1590. 

  1590.  0.30102 0.29711 0.30074 0.30261 0.30576 0.32809 0.29974 0.30654 0.3091
    1591. 

  1591.  0.30105 0.30228 0.31901] - training
    1592. 

  1592. 2025-03-24 14:39:24,549 - tf_lstm.py - INFO - 验证集损失函数为：[0.6636  0.4821  0.42161 0.38494 0.35606 0.34022 0.3303  0.3229  0.31918
    1593. 

  1593.  0.31395 0.3101  0.30795 0.30661 0.30703 0.30823 0.3041  0.30008 0.30286
    1594. 

  1594.  0.30102 0.29711 0.30074 0.30261 0.30576 0.32809 0.29974 0.30654 0.3091
    1595. 

  1595.  0.30105 0.30228 0.31901] - training
    1596. 

  1596. 2025-03-24 14:39:24,594 - dbmg.py - INFO - ❌ 数据库操作 - 详细错误: Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'} - insert_trained_model_into_mongo
    1597. 

  1597. 2025-03-24 14:39:24,594 - dbmg.py - INFO - ❌ 数据库操作 - 详细错误: Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'} - insert_trained_model_into_mongo
    1598. 

  1598. 2025-03-24 14:41:35,113 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
    1599. 

  1599. 2025-03-24 15:03:02,982 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
    1600. 

  1600. 2025-03-24 15:03:03,087 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    1601. 

  1601. 2025-03-24 15:03:03,087 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    1602. 

  1602. 2025-03-24 15:03:03,140 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    1603. 

  1603. 2025-03-24 15:03:03,140 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    1604. 

  1604. 2025-03-24 15:03:03,151 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
    1605. 

  1605. 2025-03-24 15:03:03,151 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
    1606. 

  1606. 2025-03-24 15:03:03,173 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    1607. 

  1607. 2025-03-24 15:03:03,173 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    1608. 

  1608. 2025-03-24 15:03:03,183 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    1609. 

  1609. 2025-03-24 15:03:03,183 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    1610. 

  1610. 2025-03-24 15:03:03,184 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    1611. 

  1611. 2025-03-24 15:03:03,184 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    1612. 

  1612. 2025-03-24 15:03:03,216 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    1613. 

  1613. 2025-03-24 15:03:03,216 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    1614. 

  1614. 2025-03-24 15:03:03,216 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    1615. 

  1615. 2025-03-24 15:03:03,216 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    1616. 

  1616. 2025-03-24 15:03:03,216 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    1617. 

  1617. 2025-03-24 15:03:03,216 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    1618. 

  1618. 2025-03-24 15:03:03,218 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    1619. 

  1619. 2025-03-24 15:03:03,218 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    1620. 

  1620. 2025-03-24 15:03:03,218 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    1621. 

  1621. 2025-03-24 15:03:03,218 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    1622. 

  1622. 2025-03-24 15:03:03,218 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    1623. 

  1623. 2025-03-24 15:03:03,218 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    1624. 

  1624. 2025-03-24 15:03:03,221 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    1625. 

  1625. 2025-03-24 15:03:03,221 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    1626. 

  1626. 2025-03-24 15:03:03,222 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    1627. 

  1627. 2025-03-24 15:03:03,222 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    1628. 

  1628. 2025-03-24 15:03:03,227 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    1629. 

  1629. 2025-03-24 15:03:03,227 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    1630. 

  1630. 2025-03-24 15:03:03,227 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1631. 

  1631. 2025-03-24 15:03:03,227 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1632. 

  1632. 2025-03-24 15:03:03,228 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    1633. 

  1633. 2025-03-24 15:03:03,228 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    1634. 

  1634. 2025-03-24 15:03:03,230 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1635. 

  1635. 2025-03-24 15:03:03,230 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1636. 

  1636. 2025-03-24 15:03:03,232 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    1637. 

  1637. 2025-03-24 15:03:03,232 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    1638. 

  1638. 2025-03-24 15:03:03,232 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1639. 

  1639. 2025-03-24 15:03:03,232 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1640. 

  1640. 2025-03-24 15:03:03,234 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    1641. 

  1641. 2025-03-24 15:03:03,234 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    1642. 

  1642. 2025-03-24 15:03:03,234 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1643. 

  1643. 2025-03-24 15:03:03,234 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1644. 

  1644. 2025-03-24 15:03:03,236 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    1645. 

  1645. 2025-03-24 15:03:03,236 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    1646. 

  1646. 2025-03-24 15:03:03,236 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1647. 

  1647. 2025-03-24 15:03:03,236 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1648. 

  1648. 2025-03-24 15:03:03,238 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    1649. 

  1649. 2025-03-24 15:03:03,238 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    1650. 

  1650. 2025-03-24 15:03:03,238 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1651. 

  1651. 2025-03-24 15:03:03,238 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1652. 

  1652. 2025-03-24 15:03:03,239 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    1653. 

  1653. 2025-03-24 15:03:03,239 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    1654. 

  1654. 2025-03-24 15:03:03,239 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    1655. 

  1655. 2025-03-24 15:03:03,239 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    1656. 

  1656. 2025-03-24 15:03:03,239 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    1657. 

  1657. 2025-03-24 15:03:03,239 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    1658. 

  1658. 2025-03-24 15:03:03,253 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    1659. 

  1659. 2025-03-24 15:03:03,253 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    1660. 

  1660. 2025-03-24 15:03:03,253 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    1661. 

  1661. 2025-03-24 15:03:03,253 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    1662. 

  1662. 2025-03-24 15:03:03,255 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    1663. 

  1663. 2025-03-24 15:03:03,255 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    1664. 

  1664. 2025-03-24 15:03:03,255 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    1665. 

  1665. 2025-03-24 15:03:03,255 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    1666. 

  1666. 2025-03-24 15:03:03,257 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    1667. 

  1667. 2025-03-24 15:03:03,257 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    1668. 

  1668. 2025-03-24 15:03:03,257 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1669. 

  1669. 2025-03-24 15:03:03,257 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1670. 

  1670. 2025-03-24 15:03:03,259 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    1671. 

  1671. 2025-03-24 15:03:03,259 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    1672. 

  1672. 2025-03-24 15:03:03,259 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1673. 

  1673. 2025-03-24 15:03:03,259 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1674. 

  1674. 2025-03-24 15:03:03,260 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    1675. 

  1675. 2025-03-24 15:03:03,260 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    1676. 

  1676. 2025-03-24 15:03:03,260 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1677. 

  1677. 2025-03-24 15:03:03,260 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1678. 

  1678. 2025-03-24 15:03:03,261 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    1679. 

  1679. 2025-03-24 15:03:03,261 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    1680. 

  1680. 2025-03-24 15:03:03,261 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1681. 

  1681. 2025-03-24 15:03:03,261 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1682. 

  1682. 2025-03-24 15:03:03,262 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    1683. 

  1683. 2025-03-24 15:03:03,262 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    1684. 

  1684. 2025-03-24 15:03:03,262 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    1685. 

  1685. 2025-03-24 15:03:03,262 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    1686. 

  1686. 2025-03-24 15:03:03,263 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    1687. 

  1687. 2025-03-24 15:03:03,263 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    1688. 

  1688. 2025-03-24 15:03:03,265 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
    1689. 

  1689. 2025-03-24 15:03:03,265 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
    1690. 

  1690. 2025-03-24 15:03:03,269 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
    1691. 

  1691. 2025-03-24 15:03:03,269 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
    1692. 

  1692. 2025-03-24 15:03:03,270 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
    1693. 

  1693. 2025-03-24 15:03:03,270 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
    1694. 

  1694. 2025-03-24 15:03:03,271 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    1695. 

  1695. 2025-03-24 15:03:03,271 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    1696. 

  1696. 2025-03-24 15:03:03,272 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    1697. 

  1697. 2025-03-24 15:03:03,272 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    1698. 

  1698. 2025-03-24 15:03:03,273 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1699. 

  1699. 2025-03-24 15:03:03,273 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1700. 

  1700. 2025-03-24 15:03:03,274 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1701. 

  1701. 2025-03-24 15:03:03,274 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1702. 

  1702. 2025-03-24 15:03:03,275 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1703. 

  1703. 2025-03-24 15:03:03,275 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1704. 

  1704. 2025-03-24 15:03:03,277 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
    1705. 

  1705. 2025-03-24 15:03:03,277 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
    1706. 

  1706. 2025-03-24 15:03:03,278 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
    1707. 

  1707. 2025-03-24 15:03:03,278 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
    1708. 

  1708. 2025-03-24 15:03:03,279 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
    1709. 

  1709. 2025-03-24 15:03:03,279 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
    1710. 

  1710. 2025-03-24 15:03:03,280 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1711. 

  1711. 2025-03-24 15:03:03,280 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1712. 

  1712. 2025-03-24 15:03:03,281 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1713. 

  1713. 2025-03-24 15:03:03,281 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1714. 

  1714. 2025-03-24 15:03:03,282 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1715. 

  1715. 2025-03-24 15:03:03,282 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1716. 

  1716. 2025-03-24 15:03:03,283 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
    1717. 

  1717. 2025-03-24 15:03:03,283 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
    1718. 

  1718. 2025-03-24 15:03:03,284 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
    1719. 

  1719. 2025-03-24 15:03:03,284 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
    1720. 

  1720. 2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1721. 

  1721. 2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1722. 

  1722. 2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1723. 

  1723. 2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1724. 

  1724. 2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1725. 

  1725. 2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1726. 

  1726. 2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1727. 

  1727. 2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1728. 

  1728. 2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1729. 

  1729. 2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1730. 

  1730. 2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1731. 

  1731. 2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1732. 

  1732. 2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1733. 

  1733. 2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1734. 

  1734. 2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1735. 

  1735. 2025-03-24 15:03:05,789 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1736. 

  1736. 2025-03-24 15:03:05,996 - dbmg.py - INFO - ⚠️ 未找到模型 'fmi' 的有效记录 - get_keras_model_from_mongo
    1737. 

  1737. 2025-03-24 15:03:05,996 - dbmg.py - INFO - ⚠️ 未找到模型 'fmi' 的有效记录 - get_keras_model_from_mongo
    1738. 

  1738. 2025-03-24 15:03:05,996 - tf_lstm.py - INFO - 加强训练加载模型权重失败:('cannot unpack non-iterable NoneType object',) - train_init
    1739. 

  1739. 2025-03-24 15:03:05,996 - tf_lstm.py - INFO - 加强训练加载模型权重失败:('cannot unpack non-iterable NoneType object',) - train_init
    1740. 

  1740. 2025-03-24 15:03:13,586 - tf_lstm.py - INFO - -----模型训练经过28轮迭代----- - training
    1741. 

  1741. 2025-03-24 15:03:13,586 - tf_lstm.py - INFO - -----模型训练经过28轮迭代----- - training
    1742. 

  1742. 2025-03-24 15:03:13,586 - tf_lstm.py - INFO - 训练集损失函数为：[1.03783 0.53476 0.42066 0.36936 0.33622 0.31105 0.29486 0.28367 0.27638
    1743. 

  1743.  0.27102 0.266   0.26127 0.25918 0.25661 0.25423 0.25347 0.25023 0.24919
    1744. 

  1744.  0.24692 0.24588 0.24638 0.24527 0.24537 0.24308 0.24311 0.24165 0.24153
    1745. 

  1745.  0.24311] - training
    1746. 

  1746. 2025-03-24 15:03:13,586 - tf_lstm.py - INFO - 训练集损失函数为：[1.03783 0.53476 0.42066 0.36936 0.33622 0.31105 0.29486 0.28367 0.27638
    1747. 

  1747.  0.27102 0.266   0.26127 0.25918 0.25661 0.25423 0.25347 0.25023 0.24919
    1748. 

  1748.  0.24692 0.24588 0.24638 0.24527 0.24537 0.24308 0.24311 0.24165 0.24153
    1749. 

  1749.  0.24311] - training
    1750. 

  1750. 2025-03-24 15:03:13,586 - tf_lstm.py - INFO - 验证集损失函数为：[0.67571 0.49701 0.42356 0.38909 0.35895 0.34141 0.3303  0.32137 0.31626
    1751. 

  1751.  0.31077 0.30592 0.30293 0.29966 0.29782 0.297   0.29257 0.29425 0.29124
    1752. 

  1752.  0.29423 0.30317 0.30048 0.30748 0.30076 0.29979 0.29842 0.30226 0.31115
    1753. 

  1753.  0.30433] - training
    1754. 

  1754. 2025-03-24 15:03:13,586 - tf_lstm.py - INFO - 验证集损失函数为：[0.67571 0.49701 0.42356 0.38909 0.35895 0.34141 0.3303  0.32137 0.31626
    1755. 

  1755.  0.31077 0.30592 0.30293 0.29966 0.29782 0.297   0.29257 0.29425 0.29124
    1756. 

  1756.  0.29423 0.30317 0.30048 0.30748 0.30076 0.29979 0.29842 0.30226 0.31115
    1757. 

  1757.  0.30433] - training
    1758. 

  1758. 2025-03-24 15:03:13,678 - dbmg.py - INFO - ✅ 模型 fmi 保存成功 | 文档ID: 67e103b16118d080aa98ddac - insert_trained_model_into_mongo
    1759. 

  1759. 2025-03-24 15:03:13,678 - dbmg.py - INFO - ✅ 模型 fmi 保存成功 | 文档ID: 67e103b16118d080aa98ddac - insert_trained_model_into_mongo
    1760. 

  1760. 2025-03-24 15:03:13,708 - dbmg.py - INFO - ✅ 缩放器 fmi 保存成功 | 文档ID: 67e103b16118d080aa98ddae - insert_scaler_model_into_mongo
    1761. 

  1761. 2025-03-24 15:03:13,708 - dbmg.py - INFO - ✅ 缩放器 fmi 保存成功 | 文档ID: 67e103b16118d080aa98ddae - insert_scaler_model_into_mongo
    1762. 

  1762. 2025-03-24 15:12:30,004 - logs.py - INFO - 日志输出路径为：E:\compete\app\logs - getLogName
    1763. 

  1763. 2025-03-24 15:12:42,745 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    1764. 

  1764. 2025-03-24 15:12:42,745 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    1765. 

  1765. 2025-03-24 15:12:58,201 - <string> - INFO - 111 - <module>
    1766. 

  1766. 2025-03-24 15:12:58,201 - <string> - INFO - 111 - <module>
    1767. 

  1767. 2025-03-24 15:15:31,728 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    1768. 

  1768. 2025-03-24 15:15:59,011 - <string> - INFO - 111 - <module>
    1769. 

  1769. 2025-03-24 15:25:43,834 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    1770. 

  1770.  - _tfmw_add_deprecation_warning
    1771. 

  1771. 2025-03-24 15:25:44,058 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    1772. 

  1772. 2025-03-24 15:25:44,113 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    1773. 

  1773. 2025-03-24 15:25:44,123 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
    1774. 

  1774. 2025-03-24 15:25:44,146 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    1775. 

  1775. 2025-03-24 15:25:44,157 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    1776. 

  1776. 2025-03-24 15:25:44,157 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    1777. 

  1777. 2025-03-24 15:25:44,191 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    1778. 

  1778. 2025-03-24 15:25:44,192 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    1779. 

  1779. 2025-03-24 15:25:44,192 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    1780. 

  1780. 2025-03-24 15:25:44,193 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    1781. 

  1781. 2025-03-24 15:25:44,193 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    1782. 

  1782. 2025-03-24 15:25:44,193 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    1783. 

  1783. 2025-03-24 15:25:44,197 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    1784. 

  1784. 2025-03-24 15:25:44,197 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    1785. 

  1785. 2025-03-24 15:25:44,202 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    1786. 

  1786. 2025-03-24 15:25:44,203 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1787. 

  1787. 2025-03-24 15:25:44,203 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    1788. 

  1788. 2025-03-24 15:25:44,205 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1789. 

  1789. 2025-03-24 15:25:44,206 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    1790. 

  1790. 2025-03-24 15:25:44,207 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1791. 

  1791. 2025-03-24 15:25:44,208 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    1792. 

  1792. 2025-03-24 15:25:44,209 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1793. 

  1793. 2025-03-24 15:25:44,211 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    1794. 

  1794. 2025-03-24 15:25:44,211 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1795. 

  1795. 2025-03-24 15:25:44,213 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    1796. 

  1796. 2025-03-24 15:25:44,213 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1797. 

  1797. 2025-03-24 15:25:44,214 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    1798. 

  1798. 2025-03-24 15:25:44,214 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    1799. 

  1799. 2025-03-24 15:25:44,214 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    1800. 

  1800. 2025-03-24 15:25:44,229 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    1801. 

  1801. 2025-03-24 15:25:44,230 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    1802. 

  1802. 2025-03-24 15:25:44,232 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    1803. 

  1803. 2025-03-24 15:25:44,233 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    1804. 

  1804. 2025-03-24 15:25:44,235 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    1805. 

  1805. 2025-03-24 15:25:44,235 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1806. 

  1806. 2025-03-24 15:25:44,237 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    1807. 

  1807. 2025-03-24 15:25:44,237 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1808. 

  1808. 2025-03-24 15:25:44,239 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    1809. 

  1809. 2025-03-24 15:25:44,239 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1810. 

  1810. 2025-03-24 15:25:44,241 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    1811. 

  1811. 2025-03-24 15:25:44,241 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1812. 

  1812. 2025-03-24 15:25:44,243 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    1813. 

  1813. 2025-03-24 15:25:44,243 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    1814. 

  1814. 2025-03-24 15:25:44,244 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    1815. 

  1815. 2025-03-24 15:25:44,246 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
    1816. 

  1816. 2025-03-24 15:25:44,252 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
    1817. 

  1817. 2025-03-24 15:25:44,254 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
    1818. 

  1818. 2025-03-24 15:25:44,255 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    1819. 

  1819. 2025-03-24 15:25:44,256 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    1820. 

  1820. 2025-03-24 15:25:44,257 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1821. 

  1821. 2025-03-24 15:25:44,258 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1822. 

  1822. 2025-03-24 15:25:44,259 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1823. 

  1823. 2025-03-24 15:25:44,261 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
    1824. 

  1824. 2025-03-24 15:25:44,263 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
    1825. 

  1825. 2025-03-24 15:25:44,263 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
    1826. 

  1826. 2025-03-24 15:25:44,264 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1827. 

  1827. 2025-03-24 15:25:44,265 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1828. 

  1828. 2025-03-24 15:25:44,266 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1829. 

  1829. 2025-03-24 15:25:44,268 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
    1830. 

  1830. 2025-03-24 15:25:44,268 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
    1831. 

  1831. 2025-03-24 15:25:46,756 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1832. 

  1832. 2025-03-24 15:25:46,756 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1833. 

  1833. 2025-03-24 15:25:46,756 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1834. 

  1834. 2025-03-24 15:25:46,756 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1835. 

  1835. 2025-03-24 15:25:46,756 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1836. 

  1836. 2025-03-24 15:25:46,756 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1837. 

  1837. 2025-03-24 15:25:46,756 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1838. 

  1838. 2025-03-24 15:25:46,756 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1839. 

  1839. 2025-03-24 15:25:46,963 - dbmg.py - INFO - ⚠️ 未找到模型 'fmi' 的有效记录 - get_keras_model_from_mongo
    1840. 

  1840. 2025-03-24 15:25:46,964 - tf_lstm.py - INFO - 加强训练加载模型权重失败:('cannot unpack non-iterable NoneType object',) - train_init
    1841. 

  1841. 2025-03-24 15:25:56,619 - tf_lstm.py - INFO - -----模型训练经过38轮迭代----- - training
    1842. 

  1842. 2025-03-24 15:25:56,620 - tf_lstm.py - INFO - 训练集损失函数为：[0.97203 0.48019 0.38809 0.34392 0.31529 0.30057 0.28952 0.28035 0.27424
    1843. 

  1843.  0.27015 0.26739 0.26461 0.26238 0.26054 0.25938 0.25835 0.2573  0.25521
    1844. 

  1844.  0.25667 0.25358 0.24975 0.25239 0.24996 0.25168 0.25229 0.24591 0.2436
    1845. 

  1845.  0.24559 0.24309 0.24421 0.24427 0.24306 0.2436  0.24302 0.24268 0.24342
    1846. 

  1846.  0.24349 0.24149] - training
    1847. 

  1847. 2025-03-24 15:25:56,620 - tf_lstm.py - INFO - 验证集损失函数为：[0.60693 0.45191 0.39981 0.36123 0.35344 0.33915 0.32635 0.32104 0.31862
    1848. 

  1848.  0.31443 0.31062 0.30841 0.30678 0.30652 0.30591 0.30484 0.30163 0.30197
    1849. 

  1849.  0.29908 0.29977 0.30998 0.303   0.31185 0.32436 0.30424 0.30296 0.30714
    1850. 

  1850.  0.29727 0.31234 0.31219 0.31022 0.32064 0.31771 0.32029 0.32861 0.33097
    1851. 

  1851.  0.32354 0.32525] - training
    1852. 

  1852. 2025-03-24 15:25:56,689 - dbmg.py - INFO - ✅ 模型 fmi 保存成功 | 文档ID: 67e1090464fdbe5a30d5a307 - insert_trained_model_into_mongo
    1853. 

  1853. 2025-03-24 15:25:56,697 - dbmg.py - INFO - ✅ 缩放器 fmi 保存成功 | 文档ID: 67e1090464fdbe5a30d5a309 - insert_scaler_model_into_mongo
    1854. 

  1854. 2025-03-24 15:37:30,960 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    1855. 

  1855.  - _tfmw_add_deprecation_warning
    1856. 

  1856. 2025-03-24 15:38:50,548 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    1857. 

  1857.  - _tfmw_add_deprecation_warning
    1858. 

  1858. 2025-03-24 15:38:50,926 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 15:25:56) - get_scaler_model_from_mongo
    1859. 

  1859. 2025-03-24 15:39:54,363 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    1860. 

  1860.  - _tfmw_add_deprecation_warning
    1861. 

  1861. 2025-03-24 15:40:28,533 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 15:25:56) - get_scaler_model_from_mongo
    1862. 

  1862. 2025-03-24 15:41:51,230 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    1863. 

  1863.  - _tfmw_add_deprecation_warning
    1864. 

  1864. 2025-03-24 15:42:36,739 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 15:25:56) - get_scaler_model_from_mongo
    1865. 

  1865. 2025-03-24 15:43:28,115 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    1866. 

  1866.  - _tfmw_add_deprecation_warning
    1867. 

  1867. 2025-03-24 15:43:34,170 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 15:25:56) - get_scaler_model_from_mongo
    1868. 

  1868. 2025-03-24 15:45:36,573 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    1869. 

  1869.  - _tfmw_add_deprecation_warning
    1870. 

  1870. 2025-03-24 15:45:41,835 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 15:25:56) - get_scaler_model_from_mongo
    1871. 

  1871. 2025-03-24 15:46:35,207 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    1872. 

  1872.  - _tfmw_add_deprecation_warning
    1873. 

  1873. 2025-03-24 15:46:49,802 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 15:25:56) - get_scaler_model_from_mongo
    1874. 

  1874. 2025-03-24 15:47:07,043 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
    1875. 

  1875. 2025-03-24 15:47:07,044 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmpuzv867x2.keras - get_keras_model_from_mongo
    1876. 

  1876. 2025-03-24 15:48:02,671 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    1877. 

  1877.  - _tfmw_add_deprecation_warning
    1878. 

  1878. 2025-03-24 15:48:08,321 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 15:25:56) - get_scaler_model_from_mongo
    1879. 

  1879. 2025-03-24 15:48:10,104 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
    1880. 

  1880. 2025-03-24 15:48:10,104 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmppp2bur2b.keras - get_keras_model_from_mongo
    1881. 

  1881. 2025-03-24 15:48:46,701 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    1882. 

  1882.  - _tfmw_add_deprecation_warning
    1883. 

  1883. 2025-03-24 15:49:15,435 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 15:25:56) - get_scaler_model_from_mongo
    1884. 

  1884. 2025-03-24 15:49:17,502 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
    1885. 

  1885. 2025-03-24 15:49:17,503 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmp6jjhhllp.keras - get_keras_model_from_mongo
    1886. 

  1886. 2025-03-24 16:25:48,997 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    1887. 

  1887.  - _tfmw_add_deprecation_warning
    1888. 

  1888. 2025-03-24 16:25:54,990 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 15:25:56) - get_scaler_model_from_mongo
    1889. 

  1889. 2025-03-24 16:25:57,123 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
    1890. 

  1890. 2025-03-24 16:25:57,124 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmp55bwpy6h.keras - get_keras_model_from_mongo
    1891. 

  1891. 2025-03-24 16:27:06,421 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    1892. 

  1892.  - _tfmw_add_deprecation_warning
    1893. 

  1893. 2025-03-24 16:27:34,098 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    1894. 

  1894.  - _tfmw_add_deprecation_warning
    1895. 

  1895. 2025-03-24 16:28:03,494 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    1896. 

  1896. 2025-03-24 16:28:13,423 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    1897. 

  1897. 2025-03-24 16:28:14,328 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
    1898. 

  1898. 2025-03-24 16:28:15,007 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    1899. 

  1899. 2025-03-24 16:28:29,728 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    1900. 

  1900. 2025-03-24 16:28:29,729 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    1901. 

  1901. 2025-03-24 16:28:29,762 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    1902. 

  1902. 2025-03-24 16:28:29,763 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    1903. 

  1903. 2025-03-24 16:28:29,763 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    1904. 

  1904. 2025-03-24 16:28:29,764 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    1905. 

  1905. 2025-03-24 16:28:29,764 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    1906. 

  1906. 2025-03-24 16:28:29,765 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    1907. 

  1907. 2025-03-24 16:28:29,768 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    1908. 

  1908. 2025-03-24 16:28:29,768 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    1909. 

  1909. 2025-03-24 16:28:29,774 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    1910. 

  1910. 2025-03-24 16:28:29,775 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1911. 

  1911. 2025-03-24 16:28:29,776 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    1912. 

  1912. 2025-03-24 16:28:29,776 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1913. 

  1913. 2025-03-24 16:28:29,777 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    1914. 

  1914. 2025-03-24 16:28:29,777 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1915. 

  1915. 2025-03-24 16:28:29,778 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    1916. 

  1916. 2025-03-24 16:28:29,779 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1917. 

  1917. 2025-03-24 16:28:29,779 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    1918. 

  1918. 2025-03-24 16:28:29,780 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1919. 

  1919. 2025-03-24 16:28:29,781 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    1920. 

  1920. 2025-03-24 16:28:29,781 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    1921. 

  1921. 2025-03-24 16:28:29,781 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    1922. 

  1922. 2025-03-24 16:28:29,782 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    1923. 

  1923. 2025-03-24 16:28:29,782 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    1924. 

  1924. 2025-03-24 16:28:29,795 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    1925. 

  1925. 2025-03-24 16:28:29,795 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    1926. 

  1926. 2025-03-24 16:28:29,797 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    1927. 

  1927. 2025-03-24 16:28:29,797 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    1928. 

  1928. 2025-03-24 16:28:29,800 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    1929. 

  1929. 2025-03-24 16:28:29,800 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1930. 

  1930. 2025-03-24 16:28:29,801 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    1931. 

  1931. 2025-03-24 16:28:29,801 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1932. 

  1932. 2025-03-24 16:28:29,802 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    1933. 

  1933. 2025-03-24 16:28:29,803 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1934. 

  1934. 2025-03-24 16:28:29,939 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    1935. 

  1935. 2025-03-24 16:28:29,939 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    1936. 

  1936. 2025-03-24 16:28:29,941 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    1937. 

  1937. 2025-03-24 16:28:29,941 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    1938. 

  1938. 2025-03-24 16:28:29,943 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    1939. 

  1939. 2025-03-24 16:28:31,432 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
    1940. 

  1940. 2025-03-24 16:28:31,438 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
    1941. 

  1941. 2025-03-24 16:28:31,442 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
    1942. 

  1942. 2025-03-24 16:28:31,447 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    1943. 

  1943. 2025-03-24 16:28:31,452 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    1944. 

  1944. 2025-03-24 16:28:31,456 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1945. 

  1945. 2025-03-24 16:28:31,461 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1946. 

  1946. 2025-03-24 16:28:31,466 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    1947. 

  1947. 2025-03-24 16:28:31,470 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
    1948. 

  1948. 2025-03-24 16:28:31,475 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
    1949. 

  1949. 2025-03-24 16:28:31,479 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
    1950. 

  1950. 2025-03-24 16:28:31,485 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1951. 

  1951. 2025-03-24 16:28:31,489 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1952. 

  1952. 2025-03-24 16:28:31,493 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    1953. 

  1953. 2025-03-24 16:28:31,497 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
    1954. 

  1954. 2025-03-24 16:28:31,498 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
    1955. 

  1955. 2025-03-24 16:29:15,220 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1956. 

  1956. 2025-03-24 16:29:15,221 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1957. 

  1957. 2025-03-24 16:29:15,221 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1958. 

  1958. 2025-03-24 16:29:15,221 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1959. 

  1959. 2025-03-24 16:29:15,221 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1960. 

  1960. 2025-03-24 16:29:15,221 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1961. 

  1961. 2025-03-24 16:29:15,221 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    1962. 

  1962. 2025-03-24 16:29:15,221 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    1963. 

  1963. 2025-03-24 16:29:26,828 - dbmg.py - INFO - ⚠️ 未找到模型 'fmi' 的有效记录 - get_keras_model_from_mongo
    1964. 

  1964. 2025-03-24 16:29:27,632 - tf_lstm.py - INFO - 加强训练加载模型权重失败:('cannot unpack non-iterable NoneType object',) - train_init
    1965. 

  1965. 2025-03-24 16:29:57,341 - tf_lstm.py - INFO - -----模型训练经过28轮迭代----- - training
    1966. 

  1966. 2025-03-24 16:29:57,342 - tf_lstm.py - INFO - 训练集损失函数为：[1.02629 0.51363 0.40185 0.35459 0.32764 0.30722 0.29113 0.28102 0.27487
    1967. 

  1967.  0.27069 0.26745 0.26378 0.2614  0.25867 0.25592 0.25758 0.2541  0.25267
    1968. 

  1968.  0.24981 0.24854 0.24725 0.24632 0.24614 0.24585 0.24434 0.2443  0.24277
    1969. 

  1969.  0.24312] - training
    1970. 

  1970. 2025-03-24 16:29:57,342 - tf_lstm.py - INFO - 验证集损失函数为：[0.64746 0.46841 0.41888 0.38172 0.35578 0.33682 0.32683 0.32256 0.31833
    1971. 

  1971.  0.31401 0.31055 0.30685 0.30428 0.30192 0.30389 0.29887 0.29866 0.29472
    1972. 

  1972.  0.29633 0.29759 0.29883 0.30783 0.31148 0.30816 0.30389 0.30156 0.30865
    1973. 

  1973.  0.30822] - training
    1974. 

  1974. 2025-03-24 16:30:33,003 - dbmg.py - INFO - ✅ 模型 fmi 保存成功 | 文档ID: 67e118290a53203110baf559 - insert_trained_model_into_mongo
    1975. 

  1975. 2025-03-24 16:30:33,547 - dbmg.py - INFO - ✅ 缩放器 fmi 保存成功 | 文档ID: 67e118290a53203110baf55b - insert_scaler_model_into_mongo
    1976. 

  1976. 2025-03-24 16:31:27,711 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    1977. 

  1977.  - _tfmw_add_deprecation_warning
    1978. 

  1978. 2025-03-24 16:31:37,265 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 16:30:28) - get_scaler_model_from_mongo
    1979. 

  1979. 2025-03-24 16:31:48,232 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
    1980. 

  1980. 2025-03-24 16:31:48,234 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmp7xxoukqg.keras - get_keras_model_from_mongo
    1981. 

  1981. 2025-03-24 16:36:18,503 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    1982. 

  1982.  - _tfmw_add_deprecation_warning
    1983. 

  1983. 2025-03-24 16:36:18,697 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    1984. 

  1984. 2025-03-24 16:36:18,750 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    1985. 

  1985. 2025-03-24 16:36:18,759 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
    1986. 

  1986. 2025-03-24 16:36:18,774 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    1987. 

  1987. 2025-03-24 16:36:18,784 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    1988. 

  1988. 2025-03-24 16:36:18,784 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    1989. 

  1989. 2025-03-24 16:36:18,817 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    1990. 

  1990. 2025-03-24 16:36:18,817 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    1991. 

  1991. 2025-03-24 16:36:18,817 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    1992. 

  1992. 2025-03-24 16:36:18,818 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    1993. 

  1993. 2025-03-24 16:36:18,819 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    1994. 

  1994. 2025-03-24 16:36:18,819 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    1995. 

  1995. 2025-03-24 16:36:18,822 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    1996. 

  1996. 2025-03-24 16:36:18,822 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    1997. 

  1997. 2025-03-24 16:36:18,827 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    1998. 

  1998. 2025-03-24 16:36:18,827 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    1999. 

  1999. 2025-03-24 16:36:18,828 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    2000. 

  2000. 2025-03-24 16:36:18,829 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    2001. 

  2001. 2025-03-24 16:36:18,829 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    2002. 

  2002. 2025-03-24 16:36:18,830 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    2003. 

  2003. 2025-03-24 16:36:18,830 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    2004. 

  2004. 2025-03-24 16:36:18,831 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    2005. 

  2005. 2025-03-24 16:36:18,831 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    2006. 

  2006. 2025-03-24 16:36:18,832 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    2007. 

  2007. 2025-03-24 16:36:18,832 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    2008. 

  2008. 2025-03-24 16:36:18,833 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    2009. 

  2009. 2025-03-24 16:36:18,833 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    2010. 

  2010. 2025-03-24 16:36:18,833 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    2011. 

  2011. 2025-03-24 16:36:18,834 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    2012. 

  2012. 2025-03-24 16:36:18,847 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    2013. 

  2013. 2025-03-24 16:36:18,847 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    2014. 

  2014. 2025-03-24 16:36:18,848 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    2015. 

  2015. 2025-03-24 16:36:18,848 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    2016. 

  2016. 2025-03-24 16:36:18,850 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    2017. 

  2017. 2025-03-24 16:36:18,850 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    2018. 

  2018. 2025-03-24 16:36:18,851 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    2019. 

  2019. 2025-03-24 16:36:18,851 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    2020. 

  2020. 2025-03-24 16:36:18,851 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    2021. 

  2021. 2025-03-24 16:36:18,852 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    2022. 

  2022. 2025-03-24 16:36:18,852 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    2023. 

  2023. 2025-03-24 16:36:18,853 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    2024. 

  2024. 2025-03-24 16:36:18,854 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    2025. 

  2025. 2025-03-24 16:36:18,854 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    2026. 

  2026. 2025-03-24 16:36:18,855 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    2027. 

  2027. 2025-03-24 16:36:18,857 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
    2028. 

  2028. 2025-03-24 16:36:18,860 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
    2029. 

  2029. 2025-03-24 16:36:18,861 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
    2030. 

  2030. 2025-03-24 16:36:18,862 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    2031. 

  2031. 2025-03-24 16:36:18,863 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    2032. 

  2032. 2025-03-24 16:36:18,864 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    2033. 

  2033. 2025-03-24 16:36:18,865 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    2034. 

  2034. 2025-03-24 16:36:18,866 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    2035. 

  2035. 2025-03-24 16:36:18,868 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
    2036. 

  2036. 2025-03-24 16:36:18,869 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
    2037. 

  2037. 2025-03-24 16:36:18,870 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
    2038. 

  2038. 2025-03-24 16:36:18,871 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    2039. 

  2039. 2025-03-24 16:36:18,872 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    2040. 

  2040. 2025-03-24 16:36:18,873 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    2041. 

  2041. 2025-03-24 16:36:18,875 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
    2042. 

  2042. 2025-03-24 16:36:18,875 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
    2043. 

  2043. 2025-03-24 16:36:21,335 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    2044. 

  2044. 2025-03-24 16:36:21,335 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    2045. 

  2045. 2025-03-24 16:36:21,335 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    2046. 

  2046. 2025-03-24 16:36:21,335 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    2047. 

  2047. 2025-03-24 16:36:21,335 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    2048. 

  2048. 2025-03-24 16:36:21,335 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    2049. 

  2049. 2025-03-24 16:36:21,335 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    2050. 

  2050. 2025-03-24 16:36:21,335 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    2051. 

  2051. 2025-03-24 16:36:21,531 - dbmg.py - INFO - ⚠️ 未找到模型 'fmi' 的有效记录 - get_keras_model_from_mongo
    2052. 

  2052. 2025-03-24 16:36:21,531 - tf_lstm.py - INFO - 加强训练加载模型权重失败:('cannot unpack non-iterable NoneType object',) - train_init
    2053. 

  2053. 2025-03-24 16:36:30,042 - tf_lstm.py - INFO - -----模型训练经过34轮迭代----- - training
    2054. 

  2054. 2025-03-24 16:36:30,043 - tf_lstm.py - INFO - 训练集损失函数为：[0.9643  0.47406 0.38006 0.33788 0.31271 0.29495 0.28256 0.27419 0.26928
    2055. 

  2055.  0.26494 0.26215 0.25938 0.25772 0.25598 0.25533 0.25299 0.25207 0.25119
    2056. 

  2056.  0.25038 0.24868 0.24694 0.25517 0.24927 0.24506 0.24366 0.24517 0.24472
    2057. 

  2057.  0.24305 0.24234 0.24261 0.24163 0.24408 0.24209 0.24256] - training
    2058. 

  2058. 2025-03-24 16:36:30,043 - tf_lstm.py - INFO - 验证集损失函数为：[0.61301 0.4526  0.3929  0.36492 0.34239 0.32703 0.31823 0.31337 0.30822
    2059. 

  2059.  0.30591 0.30293 0.30064 0.29839 0.29845 0.29586 0.29498 0.29576 0.29323
    2060. 

  2060.  0.29608 0.29809 0.32526 0.29454 0.2927  0.29199 0.3023  0.30548 0.30169
    2061. 

  2061.  0.30032 0.29995 0.30027 0.3121  0.30454 0.31515 0.3114 ] - training
    2062. 

  2062. 2025-03-24 16:36:30,101 - dbmg.py - INFO - ✅ 模型 fmi 保存成功 | 文档ID: 67e1198e20b7faa5a8a3e4de - insert_trained_model_into_mongo
    2063. 

  2063. 2025-03-24 16:36:30,130 - dbmg.py - INFO - ✅ 缩放器 fmi 保存成功 | 文档ID: 67e1198e20b7faa5a8a3e4e0 - insert_scaler_model_into_mongo
    2064. 

  2064. 2025-03-24 16:37:17,731 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    2065. 

  2065.  - _tfmw_add_deprecation_warning
    2066. 

  2066. 2025-03-24 16:37:22,653 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 16:36:30) - get_scaler_model_from_mongo
    2067. 

  2067. 2025-03-24 16:37:36,982 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
    2068. 

  2068. 2025-03-24 16:38:22,317 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmp8iqm1cck.keras - get_keras_model_from_mongo
    2069. 

  2069. 2025-03-24 16:42:04,247 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    2070. 

  2070.  - _tfmw_add_deprecation_warning
    2071. 

  2071. 2025-03-24 16:42:39,643 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    2072. 

  2072.  - _tfmw_add_deprecation_warning
    2073. 

  2073. 2025-03-24 16:42:39,835 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    2074. 

  2074. 2025-03-24 16:42:39,889 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    2075. 

  2075. 2025-03-24 16:42:39,897 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
    2076. 

  2076. 2025-03-24 16:42:39,912 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    2077. 

  2077. 2025-03-24 16:42:39,921 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    2078. 

  2078. 2025-03-24 16:42:39,922 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    2079. 

  2079. 2025-03-24 16:42:39,955 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    2080. 

  2080. 2025-03-24 16:42:39,955 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    2081. 

  2081. 2025-03-24 16:42:39,955 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    2082. 

  2082. 2025-03-24 16:42:39,956 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    2083. 

  2083. 2025-03-24 16:42:39,956 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    2084. 

  2084. 2025-03-24 16:42:39,956 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    2085. 

  2085. 2025-03-24 16:42:39,960 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    2086. 

  2086. 2025-03-24 16:42:39,960 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    2087. 

  2087. 2025-03-24 16:42:39,965 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    2088. 

  2088. 2025-03-24 16:42:39,965 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    2089. 

  2089. 2025-03-24 16:42:39,966 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    2090. 

  2090. 2025-03-24 16:42:39,966 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    2091. 

  2091. 2025-03-24 16:42:39,967 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    2092. 

  2092. 2025-03-24 16:42:39,967 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    2093. 

  2093. 2025-03-24 16:42:39,968 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    2094. 

  2094. 2025-03-24 16:42:39,968 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    2095. 

  2095. 2025-03-24 16:42:39,969 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    2096. 

  2096. 2025-03-24 16:42:39,969 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    2097. 

  2097. 2025-03-24 16:42:39,970 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    2098. 

  2098. 2025-03-24 16:42:39,971 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    2099. 

  2099. 2025-03-24 16:42:39,972 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    2100. 

  2100. 2025-03-24 16:42:39,972 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    2101. 

  2101. 2025-03-24 16:42:39,972 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    2102. 

  2102. 2025-03-24 16:42:39,987 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    2103. 

  2103. 2025-03-24 16:42:39,988 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    2104. 

  2104. 2025-03-24 16:42:39,989 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    2105. 

  2105. 2025-03-24 16:42:39,989 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    2106. 

  2106. 2025-03-24 16:42:39,991 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    2107. 

  2107. 2025-03-24 16:42:39,991 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    2108. 

  2108. 2025-03-24 16:42:39,992 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    2109. 

  2109. 2025-03-24 16:42:39,992 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    2110. 

  2110. 2025-03-24 16:42:39,993 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    2111. 

  2111. 2025-03-24 16:42:39,993 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    2112. 

  2112. 2025-03-24 16:42:39,993 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    2113. 

  2113. 2025-03-24 16:42:39,994 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    2114. 

  2114. 2025-03-24 16:42:39,995 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    2115. 

  2115. 2025-03-24 16:42:39,995 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    2116. 

  2116. 2025-03-24 16:42:39,995 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    2117. 

  2117. 2025-03-24 16:42:39,998 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
    2118. 

  2118. 2025-03-24 16:42:40,000 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
    2119. 

  2119. 2025-03-24 16:42:40,001 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
    2120. 

  2120. 2025-03-24 16:42:40,003 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    2121. 

  2121. 2025-03-24 16:42:40,004 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    2122. 

  2122. 2025-03-24 16:42:40,005 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    2123. 

  2123. 2025-03-24 16:42:40,007 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    2124. 

  2124. 2025-03-24 16:42:40,008 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    2125. 

  2125. 2025-03-24 16:42:40,009 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
    2126. 

  2126. 2025-03-24 16:42:40,010 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
    2127. 

  2127. 2025-03-24 16:42:40,011 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
    2128. 

  2128. 2025-03-24 16:42:40,012 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    2129. 

  2129. 2025-03-24 16:42:40,014 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    2130. 

  2130. 2025-03-24 16:42:40,015 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    2131. 

  2131. 2025-03-24 16:42:40,015 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
    2132. 

  2132. 2025-03-24 16:42:40,015 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
    2133. 

  2133. 2025-03-24 16:42:42,468 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    2134. 

  2134. 2025-03-24 16:42:42,468 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    2135. 

  2135. 2025-03-24 16:42:42,468 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    2136. 

  2136. 2025-03-24 16:42:42,468 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    2137. 

  2137. 2025-03-24 16:42:42,468 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    2138. 

  2138. 2025-03-24 16:42:42,468 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    2139. 

  2139. 2025-03-24 16:42:42,468 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    2140. 

  2140. 2025-03-24 16:42:42,468 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    2141. 

  2141. 2025-03-24 16:42:42,660 - dbmg.py - INFO - ⚠️ 未找到模型 'fmi' 的有效记录 - get_keras_model_from_mongo
    2142. 

  2142. 2025-03-24 16:42:42,660 - tf_lstm.py - INFO - 加强训练加载模型权重失败:('cannot unpack non-iterable NoneType object',) - train_init
    2143. 

  2143. 2025-03-24 16:42:49,897 - tf_lstm.py - INFO - -----模型训练经过27轮迭代----- - training
    2144. 

  2144. 2025-03-24 16:42:49,897 - tf_lstm.py - INFO - 训练集损失函数为：[0.96267 0.4795  0.3828  0.33981 0.31385 0.29333 0.28207 0.27515 0.26941
    2145. 

  2145.  0.26535 0.26145 0.25899 0.25735 0.25456 0.25272 0.25108 0.24981 0.24775
    2146. 

  2146.  0.24647 0.24539 0.24586 0.24603 0.24397 0.24372 0.24296 0.24248 0.24168] - training
    2147. 

  2147. 2025-03-24 16:42:49,897 - tf_lstm.py - INFO - 验证集损失函数为：[0.59539 0.44493 0.39523 0.36333 0.33706 0.32722 0.32066 0.31653 0.31189
    2148. 

  2148.  0.3084  0.30568 0.30329 0.3006  0.29764 0.29469 0.29404 0.29394 0.29482
    2149. 

  2149.  0.29847 0.30606 0.30585 0.30305 0.3043  0.30375 0.30399 0.30229 0.30546] - training
    2150. 

  2150. 2025-03-24 16:42:49,937 - dbmg.py - INFO - ✅ 模型 fmi 保存成功 | 文档ID: 67e11b09e07150fcb0cf945b - insert_trained_model_into_mongo
    2151. 

  2151. 2025-03-24 16:42:49,962 - dbmg.py - INFO - ✅ 缩放器 fmi 保存成功 | 文档ID: 67e11b09e07150fcb0cf945d - insert_scaler_model_into_mongo
    2152. 

  2152. 2025-03-24 16:43:02,092 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    2153. 

  2153.  - _tfmw_add_deprecation_warning
    2154. 

  2154. 2025-03-24 16:43:02,317 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 16:42:49) - get_scaler_model_from_mongo
    2155. 

  2155. 2025-03-24 16:43:02,413 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
    2156. 

  2156. 2025-03-24 16:43:02,414 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmpx3q11gfa.keras - get_keras_model_from_mongo
    2157. 

  2157. 2025-03-24 16:43:38,278 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    2158. 

  2158.  - _tfmw_add_deprecation_warning
    2159. 

  2159. 2025-03-24 16:43:59,173 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 16:42:49) - get_scaler_model_from_mongo
    2160. 

  2160. 2025-03-24 16:44:02,875 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
    2161. 

  2161. 2025-03-24 16:44:04,753 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmpllyi19g9.keras - get_keras_model_from_mongo
    2162. 

  2162. 2025-03-24 16:46:37,754 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    2163. 

  2163.  - _tfmw_add_deprecation_warning
    2164. 

  2164. 2025-03-24 16:46:54,113 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    2165. 

  2165. 2025-03-24 16:47:01,978 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    2166. 

  2166. 2025-03-24 16:47:02,494 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
    2167. 

  2167. 2025-03-24 16:47:03,101 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    2168. 

  2168. 2025-03-24 16:47:05,929 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    2169. 

  2169. 2025-03-24 16:47:05,929 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    2170. 

  2170. 2025-03-24 16:47:05,962 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    2171. 

  2171. 2025-03-24 16:47:05,962 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    2172. 

  2172. 2025-03-24 16:47:05,963 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    2173. 

  2173. 2025-03-24 16:47:05,964 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    2174. 

  2174. 2025-03-24 16:47:05,964 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    2175. 

  2175. 2025-03-24 16:47:05,964 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    2176. 

  2176. 2025-03-24 16:47:05,968 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    2177. 

  2177. 2025-03-24 16:47:05,968 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    2178. 

  2178. 2025-03-24 16:47:05,975 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    2179. 

  2179. 2025-03-24 16:47:05,975 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    2180. 

  2180. 2025-03-24 16:47:05,976 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    2181. 

  2181. 2025-03-24 16:47:05,976 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    2182. 

  2182. 2025-03-24 16:47:05,977 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    2183. 

  2183. 2025-03-24 16:47:05,977 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    2184. 

  2184. 2025-03-24 16:47:05,979 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    2185. 

  2185. 2025-03-24 16:47:05,979 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    2186. 

  2186. 2025-03-24 16:47:05,980 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    2187. 

  2187. 2025-03-24 16:47:05,980 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    2188. 

  2188. 2025-03-24 16:47:05,981 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    2189. 

  2189. 2025-03-24 16:47:05,981 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    2190. 

  2190. 2025-03-24 16:47:05,982 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    2191. 

  2191. 2025-03-24 16:47:05,982 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    2192. 

  2192. 2025-03-24 16:47:05,982 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    2193. 

  2193. 2025-03-24 16:47:06,132 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    2194. 

  2194. 2025-03-24 16:47:06,133 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    2195. 

  2195. 2025-03-24 16:47:06,134 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    2196. 

  2196. 2025-03-24 16:47:06,135 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    2197. 

  2197. 2025-03-24 16:47:06,136 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    2198. 

  2198. 2025-03-24 16:47:06,137 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    2199. 

  2199. 2025-03-24 16:47:06,138 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    2200. 

  2200. 2025-03-24 16:47:06,138 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    2201. 

  2201. 2025-03-24 16:47:06,139 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    2202. 

  2202. 2025-03-24 16:47:06,139 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    2203. 

  2203. 2025-03-24 16:47:06,140 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    2204. 

  2204. 2025-03-24 16:47:06,140 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    2205. 

  2205. 2025-03-24 16:47:06,141 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    2206. 

  2206. 2025-03-24 16:47:06,141 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    2207. 

  2207. 2025-03-24 16:47:06,143 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    2208. 

  2208. 2025-03-24 16:47:06,750 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
    2209. 

  2209. 2025-03-24 16:47:06,758 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
    2210. 

  2210. 2025-03-24 16:47:06,762 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
    2211. 

  2211. 2025-03-24 16:47:06,767 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    2212. 

  2212. 2025-03-24 16:47:06,771 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    2213. 

  2213. 2025-03-24 16:47:06,776 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    2214. 

  2214. 2025-03-24 16:47:06,781 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    2215. 

  2215. 2025-03-24 16:47:06,785 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    2216. 

  2216. 2025-03-24 16:47:06,790 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
    2217. 

  2217. 2025-03-24 16:47:06,795 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
    2218. 

  2218. 2025-03-24 16:47:06,800 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
    2219. 

  2219. 2025-03-24 16:47:06,804 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    2220. 

  2220. 2025-03-24 16:47:06,808 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    2221. 

  2221. 2025-03-24 16:47:06,813 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    2222. 

  2222. 2025-03-24 16:47:06,818 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
    2223. 

  2223. 2025-03-24 16:47:06,818 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
    2224. 

  2224. 2025-03-24 16:47:18,426 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    2225. 

  2225. 2025-03-24 16:47:18,427 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    2226. 

  2226. 2025-03-24 16:47:18,427 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    2227. 

  2227. 2025-03-24 16:47:18,427 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    2228. 

  2228. 2025-03-24 16:47:18,427 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    2229. 

  2229. 2025-03-24 16:47:18,427 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    2230. 

  2230. 2025-03-24 16:47:18,427 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    2231. 

  2231. 2025-03-24 16:47:18,427 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    2232. 

  2232. 2025-03-24 16:50:06,912 - dbmg.py - INFO - ⚠️ 未找到模型 'fmi' 的有效记录 - get_keras_model_from_mongo
    2233. 

  2233. 2025-03-24 16:50:13,396 - tf_lstm.py - INFO - 加强训练加载模型权重失败:('cannot unpack non-iterable NoneType object',) - train_init
    2234. 

  2234. 2025-03-24 16:57:55,524 - tf_lstm.py - INFO - -----模型训练经过29轮迭代----- - training
    2235. 

  2235. 2025-03-24 16:57:55,586 - tf_lstm.py - INFO - 训练集损失函数为：[0.97667 0.481   0.38455 0.34302 0.31664 0.29749 0.28507 0.27773 0.27194
    2236. 

  2236.  0.26851 0.26433 0.26113 0.25886 0.25782 0.25613 0.25257 0.25237 0.25089
    2237. 

  2237.  0.24923 0.24812 0.24534 0.24582 0.24415 0.24344 0.24284 0.24193 0.24205
    2238. 

  2238.  0.24151 0.24144] - training
    2239. 

  2239. 2025-03-24 16:57:55,632 - tf_lstm.py - INFO - 验证集损失函数为：[0.60394 0.44582 0.40218 0.36976 0.34505 0.33046 0.32577 0.31802 0.31591
    2240. 

  2240.  0.31033 0.30696 0.30481 0.30502 0.30265 0.29893 0.29964 0.29727 0.29644
    2241. 

  2241.  0.29476 0.29623 0.30499 0.30848 0.30849 0.3045  0.30433 0.30477 0.30999
    2242. 

  2242.  0.30893 0.30762] - training
    2243. 

  2243. 2025-03-24 17:03:00,603 - dbmg.py - INFO - ✅ 模型 fmi 保存成功 | 文档ID: 67e11fc4bc458d27a489190c - insert_trained_model_into_mongo
    2244. 

  2244. 2025-03-24 17:03:01,163 - dbmg.py - INFO - ✅ 缩放器 fmi 保存成功 | 文档ID: 67e11fc5bc458d27a489190e - insert_scaler_model_into_mongo
    2245. 

  2245. 2025-03-24 17:06:59,385 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    2246. 

  2246.  - _tfmw_add_deprecation_warning
    2247. 

  2247. 2025-03-24 17:06:59,604 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 17:02:16) - get_scaler_model_from_mongo
    2248. 

  2248. 2025-03-24 17:06:59,720 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
    2249. 

  2249. 2025-03-24 17:06:59,721 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmpdm2thyh7.keras - get_keras_model_from_mongo
    2250. 

  2250. 2025-03-24 17:08:17,377 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    2251. 

  2251.  - _tfmw_add_deprecation_warning
    2252. 

  2252. 2025-03-24 17:08:17,564 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    2253. 

  2253. 2025-03-24 17:08:17,618 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    2254. 

  2254. 2025-03-24 17:08:17,627 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
    2255. 

  2255. 2025-03-24 17:08:17,642 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    2256. 

  2256. 2025-03-24 17:08:17,652 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    2257. 

  2257. 2025-03-24 17:08:17,652 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    2258. 

  2258. 2025-03-24 17:08:17,685 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    2259. 

  2259. 2025-03-24 17:08:17,685 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    2260. 

  2260. 2025-03-24 17:08:17,685 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    2261. 

  2261. 2025-03-24 17:08:17,686 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    2262. 

  2262. 2025-03-24 17:08:17,687 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    2263. 

  2263. 2025-03-24 17:08:17,687 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    2264. 

  2264. 2025-03-24 17:08:17,690 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    2265. 

  2265. 2025-03-24 17:08:17,690 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    2266. 

  2266. 2025-03-24 17:08:17,698 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    2267. 

  2267. 2025-03-24 17:08:17,698 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    2268. 

  2268. 2025-03-24 17:08:17,699 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    2269. 

  2269. 2025-03-24 17:08:17,699 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    2270. 

  2270. 2025-03-24 17:08:17,701 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    2271. 

  2271. 2025-03-24 17:08:17,701 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    2272. 

  2272. 2025-03-24 17:08:17,702 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    2273. 

  2273. 2025-03-24 17:08:17,702 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    2274. 

  2274. 2025-03-24 17:08:17,704 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    2275. 

  2275. 2025-03-24 17:08:17,704 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    2276. 

  2276. 2025-03-24 17:08:17,705 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    2277. 

  2277. 2025-03-24 17:08:17,705 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    2278. 

  2278. 2025-03-24 17:08:17,706 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    2279. 

  2279. 2025-03-24 17:08:17,706 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    2280. 

  2280. 2025-03-24 17:08:17,706 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    2281. 

  2281. 2025-03-24 17:08:17,719 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    2282. 

  2282. 2025-03-24 17:08:17,719 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    2283. 

  2283. 2025-03-24 17:08:17,720 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    2284. 

  2284. 2025-03-24 17:08:17,720 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    2285. 

  2285. 2025-03-24 17:08:17,722 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    2286. 

  2286. 2025-03-24 17:08:17,722 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    2287. 

  2287. 2025-03-24 17:08:17,723 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    2288. 

  2288. 2025-03-24 17:08:17,723 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    2289. 

  2289. 2025-03-24 17:08:17,724 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    2290. 

  2290. 2025-03-24 17:08:17,724 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    2291. 

  2291. 2025-03-24 17:08:17,725 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    2292. 

  2292. 2025-03-24 17:08:17,725 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    2293. 

  2293. 2025-03-24 17:08:17,727 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    2294. 

  2294. 2025-03-24 17:08:17,727 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    2295. 

  2295. 2025-03-24 17:08:17,728 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    2296. 

  2296. 2025-03-24 17:08:17,731 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
    2297. 

  2297. 2025-03-24 17:08:17,735 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
    2298. 

  2298. 2025-03-24 17:08:17,736 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
    2299. 

  2299. 2025-03-24 17:08:17,737 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    2300. 

  2300. 2025-03-24 17:08:17,738 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    2301. 

  2301. 2025-03-24 17:08:17,739 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    2302. 

  2302. 2025-03-24 17:08:17,740 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    2303. 

  2303. 2025-03-24 17:08:17,741 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    2304. 

  2304. 2025-03-24 17:08:17,743 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
    2305. 

  2305. 2025-03-24 17:08:17,744 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
    2306. 

  2306. 2025-03-24 17:08:17,745 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
    2307. 

  2307. 2025-03-24 17:08:17,746 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    2308. 

  2308. 2025-03-24 17:08:17,747 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    2309. 

  2309. 2025-03-24 17:08:17,748 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    2310. 

  2310. 2025-03-24 17:08:17,749 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
    2311. 

  2311. 2025-03-24 17:08:17,750 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
    2312. 

  2312. 2025-03-24 17:08:20,183 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    2313. 

  2313. 2025-03-24 17:08:20,183 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    2314. 

  2314. 2025-03-24 17:08:20,183 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    2315. 

  2315. 2025-03-24 17:08:20,183 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    2316. 

  2316. 2025-03-24 17:08:20,183 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    2317. 

  2317. 2025-03-24 17:08:20,183 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    2318. 

  2318. 2025-03-24 17:08:20,183 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    2319. 

  2319. 2025-03-24 17:08:20,183 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    2320. 

  2320. 2025-03-24 17:08:20,384 - dbmg.py - INFO - ⚠️ 未找到模型 'fmi' 的有效记录 - get_keras_model_from_mongo
    2321. 

  2321. 2025-03-24 17:08:20,384 - tf_lstm.py - INFO - 加强训练加载模型权重失败:('cannot unpack non-iterable NoneType object',) - train_init
    2322. 

  2322. 2025-03-24 17:08:27,815 - tf_lstm.py - INFO - -----模型训练经过28轮迭代----- - training
    2323. 

  2323. 2025-03-24 17:08:27,815 - tf_lstm.py - INFO - 训练集损失函数为：[1.00304 0.50132 0.40073 0.35612 0.32649 0.30222 0.288   0.27935 0.27276
    2324. 

  2324.  0.26797 0.26366 0.26215 0.25902 0.25727 0.25586 0.2526  0.25153 0.24999
    2325. 

  2325.  0.2468  0.2471  0.24597 0.2473  0.24438 0.24328 0.24272 0.24299 0.2421
    2326. 

  2326.  0.24151] - training
    2327. 

  2327. 2025-03-24 17:08:27,816 - tf_lstm.py - INFO - 验证集损失函数为：[0.63754 0.46007 0.41528 0.3836  0.34785 0.33632 0.33146 0.32125 0.31666
    2328. 

  2328.  0.31205 0.30924 0.30597 0.30214 0.30073 0.29796 0.29722 0.29637 0.29324
    2329. 

  2329.  0.29767 0.29886 0.30864 0.30684 0.30177 0.29866 0.30389 0.30451 0.30523
    2330. 

  2330.  0.30582] - training
    2331. 

  2331. 2025-03-24 17:08:27,858 - dbmg.py - INFO - ✅ 模型 fmi 保存成功 | 文档ID: 67e1210bd9445a7794dc508b - insert_trained_model_into_mongo
    2332. 

  2332. 2025-03-24 17:08:27,878 - dbmg.py - INFO - ✅ 缩放器 fmi 保存成功 | 文档ID: 67e1210bd9445a7794dc508d - insert_scaler_model_into_mongo
    2333. 

  2333. 2025-03-24 17:09:12,279 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    2334. 

  2334.  - _tfmw_add_deprecation_warning
    2335. 

  2335. 2025-03-24 17:09:12,496 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 17:08:27) - get_scaler_model_from_mongo
    2336. 

  2336. 2025-03-24 17:09:12,590 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
    2337. 

  2337. 2025-03-24 17:09:12,591 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmpdtwtlo2m.keras - get_keras_model_from_mongo
    2338. 

  2338. 2025-03-24 17:11:00,249 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    2339. 

  2339.  - _tfmw_add_deprecation_warning
    2340. 

  2340. 2025-03-24 17:11:00,443 - tf_lstm_train.py - INFO - Program starts execution! - model_training
    2341. 

  2341. 2025-03-24 17:11:00,496 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    2342. 

  2342. 2025-03-24 17:11:00,506 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
    2343. 

  2343. 2025-03-24 17:11:00,525 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
    2344. 

  2344. 2025-03-24 17:11:00,536 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
    2345. 

  2345. 2025-03-24 17:11:00,537 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
    2346. 

  2346. 2025-03-24 17:11:00,570 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
    2347. 

  2347. 2025-03-24 17:11:00,571 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    2348. 

  2348. 2025-03-24 17:11:00,571 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    2349. 

  2349. 2025-03-24 17:11:00,572 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
    2350. 

  2350. 2025-03-24 17:11:00,572 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
    2351. 

  2351. 2025-03-24 17:11:00,572 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
    2352. 

  2352. 2025-03-24 17:11:00,576 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
    2353. 

  2353. 2025-03-24 17:11:00,576 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
    2354. 

  2354. 2025-03-24 17:11:00,581 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
    2355. 

  2355. 2025-03-24 17:11:00,581 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    2356. 

  2356. 2025-03-24 17:11:00,583 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
    2357. 

  2357. 2025-03-24 17:11:00,583 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    2358. 

  2358. 2025-03-24 17:11:00,584 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
    2359. 

  2359. 2025-03-24 17:11:00,584 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
    2360. 

  2360. 2025-03-24 17:11:00,585 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
    2361. 

  2361. 2025-03-24 17:11:00,585 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    2362. 

  2362. 2025-03-24 17:11:00,586 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
    2363. 

  2363. 2025-03-24 17:11:00,586 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    2364. 

  2364. 2025-03-24 17:11:00,588 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
    2365. 

  2365. 2025-03-24 17:11:00,588 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
    2366. 

  2366. 2025-03-24 17:11:00,589 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
    2367. 

  2367. 2025-03-24 17:11:00,589 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
    2368. 

  2368. 2025-03-24 17:11:00,589 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
    2369. 

  2369. 2025-03-24 17:11:00,603 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
    2370. 

  2370. 2025-03-24 17:11:00,603 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
    2371. 

  2371. 2025-03-24 17:11:00,604 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
    2372. 

  2372. 2025-03-24 17:11:00,604 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
    2373. 

  2373. 2025-03-24 17:11:00,606 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
    2374. 

  2374. 2025-03-24 17:11:00,606 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    2375. 

  2375. 2025-03-24 17:11:00,607 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
    2376. 

  2376. 2025-03-24 17:11:00,607 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    2377. 

  2377. 2025-03-24 17:11:00,608 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
    2378. 

  2378. 2025-03-24 17:11:00,608 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    2379. 

  2379. 2025-03-24 17:11:00,609 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
    2380. 

  2380. 2025-03-24 17:11:00,609 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
    2381. 

  2381. 2025-03-24 17:11:00,610 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
    2382. 

  2382. 2025-03-24 17:11:00,610 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
    2383. 

  2383. 2025-03-24 17:11:00,611 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
    2384. 

  2384. 2025-03-24 17:11:00,613 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
    2385. 

  2385. 2025-03-24 17:11:00,617 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
    2386. 

  2386. 2025-03-24 17:11:00,619 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
    2387. 

  2387. 2025-03-24 17:11:00,620 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    2388. 

  2388. 2025-03-24 17:11:00,621 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
    2389. 

  2389. 2025-03-24 17:11:00,622 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    2390. 

  2390. 2025-03-24 17:11:00,623 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    2391. 

  2391. 2025-03-24 17:11:00,624 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
    2392. 

  2392. 2025-03-24 17:11:00,625 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
    2393. 

  2393. 2025-03-24 17:11:00,627 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
    2394. 

  2394. 2025-03-24 17:11:00,628 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
    2395. 

  2395. 2025-03-24 17:11:00,629 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    2396. 

  2396. 2025-03-24 17:11:00,630 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    2397. 

  2397. 2025-03-24 17:11:00,631 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
    2398. 

  2398. 2025-03-24 17:11:00,632 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
    2399. 

  2399. 2025-03-24 17:11:00,632 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
    2400. 

  2400. 2025-03-24 17:11:03,098 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    2401. 

  2401. 2025-03-24 17:11:03,098 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    2402. 

  2402. 2025-03-24 17:11:03,098 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    2403. 

  2403. 2025-03-24 17:11:03,098 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    2404. 

  2404. 2025-03-24 17:11:03,098 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    2405. 

  2405. 2025-03-24 17:11:03,098 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    2406. 

  2406. 2025-03-24 17:11:03,098 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
    2407. 

  2407. 2025-03-24 17:11:03,098 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
    2408. 

  2408. 2025-03-24 17:11:03,294 - dbmg.py - INFO - ⚠️ 未找到模型 'fmi' 的有效记录 - get_keras_model_from_mongo
    2409. 

  2409. 2025-03-24 17:11:03,295 - tf_lstm.py - INFO - 加强训练加载模型权重失败:('cannot unpack non-iterable NoneType object',) - train_init
    2410. 

  2410. 2025-03-24 17:11:10,984 - tf_lstm.py - INFO - -----模型训练经过29轮迭代----- - training
    2411. 

  2411. 2025-03-24 17:11:10,985 - tf_lstm.py - INFO - 训练集损失函数为：[1.0187  0.50769 0.4003  0.34891 0.31975 0.30011 0.2885  0.28014 0.27268
    2412. 

  2412.  0.26722 0.26358 0.26146 0.25936 0.25838 0.25643 0.25476 0.25288 0.25224
    2413. 

  2413.  0.25059 0.2489  0.24688 0.24658 0.24647 0.2449  0.24442 0.24386 0.24395
    2414. 

  2414.  0.24276 0.243  ] - training
    2415. 

  2415. 2025-03-24 17:11:10,985 - tf_lstm.py - INFO - 验证集损失函数为：[0.64388 0.46151 0.40515 0.37103 0.35298 0.33836 0.32787 0.31869 0.3132
    2416. 

  2416.  0.30919 0.30599 0.30453 0.30324 0.30072 0.29934 0.29613 0.29618 0.29528
    2417. 

  2417.  0.29365 0.29378 0.30024 0.30205 0.29393 0.29537 0.29821 0.30199 0.30141
    2418. 

  2418.  0.3054  0.30375] - training
    2419. 

  2419. 2025-03-24 17:11:11,026 - dbmg.py - INFO - ✅ 模型 fmi 保存成功 | 文档ID: 67e121af8347b570c0051984 - insert_trained_model_into_mongo
    2420. 

  2420. 2025-03-24 17:11:11,046 - dbmg.py - INFO - ✅ 缩放器 fmi 保存成功 | 文档ID: 67e121af8347b570c0051986 - insert_scaler_model_into_mongo
    2421. 

  2421. 2025-03-24 17:14:35,654 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    2422. 

  2422.  - _tfmw_add_deprecation_warning
    2423. 

  2423. 2025-03-24 17:14:35,856 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 17:11:10) - get_scaler_model_from_mongo
    2424. 

  2424. 2025-03-24 17:14:35,953 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
    2425. 

  2425. 2025-03-24 17:14:35,954 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmpvvvszb77.keras - get_keras_model_from_mongo
    2426. 

  2426. 2025-03-24 17:30:37,721 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    2427. 

  2427.  - _tfmw_add_deprecation_warning
    2428. 

  2428. 2025-03-24 17:31:04,516 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 17:11:10) - get_scaler_model_from_mongo
    2429. 

  2429. 2025-03-24 17:36:19,276 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    2430. 

  2430.  - _tfmw_add_deprecation_warning
    2431. 

  2431. 2025-03-24 17:36:45,665 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    2432. 

  2432.  - _tfmw_add_deprecation_warning
    2433. 

  2433. 2025-03-24 17:37:32,496 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    2434. 

  2434.  - _tfmw_add_deprecation_warning
    2435. 

  2435. 2025-03-24 17:37:38,183 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 17:11:10) - get_scaler_model_from_mongo
    2436. 

  2436. 2025-03-24 17:37:44,340 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
    2437. 

  2437. 2025-03-24 17:37:45,648 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmpxnt3vn8d.keras - get_keras_model_from_mongo
    2438. 

  2438. 2025-03-24 17:48:35,080 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    2439. 

  2439.  - _tfmw_add_deprecation_warning
    2440. 

  2440. 2025-03-24 17:48:39,970 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 17:11:10) - get_scaler_model_from_mongo
    2441. 

  2441. 2025-03-24 17:48:44,344 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
    2442. 

  2442. 2025-03-24 17:48:46,276 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmpc5qqpto_.keras - get_keras_model_from_mongo
    2443. 

  2443. 2025-03-24 17:49:12,303 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    2444. 

  2444.  - _tfmw_add_deprecation_warning
    2445. 

  2445. 2025-03-24 17:49:16,406 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 17:11:10) - get_scaler_model_from_mongo
    2446. 

  2446. 2025-03-24 17:49:24,029 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
    2447. 

  2447. 2025-03-24 17:49:31,117 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmp3dcxyg51.keras - get_keras_model_from_mongo
    2448. 

  2448. 2025-03-24 17:50:55,775 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    2449. 

  2449.  - _tfmw_add_deprecation_warning
    2450. 

  2450. 2025-03-24 17:50:59,392 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 17:11:10) - get_scaler_model_from_mongo
    2451. 

  2451. 2025-03-24 17:51:03,446 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
    2452. 

  2452. 2025-03-24 17:51:04,445 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmpr1zyclo4.keras - get_keras_model_from_mongo
    2453. 

  2453. 2025-03-24 17:51:56,991 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    2454. 

  2454.  - _tfmw_add_deprecation_warning
    2455. 

  2455. 2025-03-24 17:52:00,812 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 17:11:10) - get_scaler_model_from_mongo
    2456. 

  2456. 2025-03-24 17:52:05,476 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
    2457. 

  2457. 2025-03-24 17:52:06,146 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmp9z7uk0pw.keras - get_keras_model_from_mongo
    2458. 

  2458. 2025-03-24 17:52:43,974 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    2459. 

  2459.  - _tfmw_add_deprecation_warning
    2460. 

  2460. 2025-03-24 17:52:44,193 - dbmg.py - INFO - ✅ 成功加载 fmi 的缩放器 (版本时间: 2025-03-24 17:11:10) - get_scaler_model_from_mongo
    2461. 

  2461. 2025-03-24 17:52:44,285 - dbmg.py - INFO - fmi 模型成功从 MongoDB 加载！ - get_keras_model_from_mongo
    2462. 

  2462. 2025-03-24 17:52:44,285 - dbmg.py - INFO - 🧹 已清理临时文件: C:\Users\ADMINI~1\AppData\Local\Temp\tmp94emdn_b.keras - get_keras_model_from_mongo
    2463. 

  2463. 2025-03-24 17:52:44,582 - tf_lstm.py - INFO - 执行预测方法 - predict
    2464.