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@@ -33,7 +33,6 @@ def update_config():
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# features参数规则：1.有传入，解析，覆盖 2. 无传入，不覆盖，原始值
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request_args['features'] = request_args['features'].split(',') if 'features' in request_args else current_config['features']
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request_args['time_series'] = request_args.get('time_series', 1)
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- request_args['zone'] = request_args['zone'].split(',')
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current_config = deep_update(current_config, request_args)
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# 存储到请求上下文
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@@ -55,6 +54,7 @@ def model_training_lstm():
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try:
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# ------------ 获取数据，预处理训练数据 ------------
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train_data = get_data_from_mongo(args)
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+ train_data_1 = get_data_from_mongo(args)
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train_x, train_y, valid_x, valid_y, scaled_train_bytes, scaled_target_bytes, scaled_cap = dh.train_data_handler(train_data, time_series=args['time_series'])
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ts.opt.cap = round(scaled_cap, 2)
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ts.opt.Model['input_size'] = len(dh.opt.features)
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David