解决sqlite存储日期格式
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@ -167,12 +167,12 @@ upload_data = {
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### 开关
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### 开关
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is_train = True # 是否训练
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is_train = True # 是否训练
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is_debug = True # 是否调试
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is_debug = False # 是否调试
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is_eta = False # 是否使用eta接口
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is_eta = False # 是否使用eta接口
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is_timefurture = True # 是否使用时间特征
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is_timefurture = True # 是否使用时间特征
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is_fivemodels = True # 是否使用之前保存的最佳的5个模型
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is_fivemodels = False # 是否使用之前保存的最佳的5个模型
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is_edbcode = True # 特征使用edbcoding列表中的
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is_edbcode = False # 特征使用edbcoding列表中的
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is_edbnamelist = True # 自定义特征,对应上面的edbnamelist
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is_edbnamelist = False # 自定义特征,对应上面的edbnamelist
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is_update_eta = False # 预测结果上传到eta
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is_update_eta = False # 预测结果上传到eta
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is_update_report = False # 是否上传报告
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is_update_report = False # 是否上传报告
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39
main.py
39
main.py
@ -65,6 +65,7 @@ def predict_main():
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else:
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else:
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for row in first_row.itertuples(index=False):
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for row in first_row.itertuples(index=False):
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row_dict = row._asdict()
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row_dict = row._asdict()
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row_dict['ds'] = row_dict['ds'].strftime('%Y-%m-%d %H:%M:%S')
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check_query = sqlitedb.select_data('trueandpredict',where_condition = f"ds = '{row.ds}'")
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check_query = sqlitedb.select_data('trueandpredict',where_condition = f"ds = '{row.ds}'")
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if len(check_query) > 0:
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if len(check_query) > 0:
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set_clause = ", ".join([f"{key} = '{value}'" for key, value in row_dict.items()])
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set_clause = ", ".join([f"{key} = '{value}'" for key, value in row_dict.items()])
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@ -117,25 +118,25 @@ def predict_main():
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row,col = df.shape
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row,col = df.shape
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now = datetime.datetime.now().strftime('%Y%m%d%H%M%S')
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now = datetime.datetime.now().strftime('%Y%m%d%H%M%S')
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# ex_Model(df,
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ex_Model(df,
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# horizon=horizon,
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horizon=horizon,
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# input_size=input_size,
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input_size=input_size,
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# train_steps=train_steps,
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train_steps=train_steps,
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# val_check_steps=val_check_steps,
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val_check_steps=val_check_steps,
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# early_stop_patience_steps=early_stop_patience_steps,
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early_stop_patience_steps=early_stop_patience_steps,
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# is_debug=is_debug,
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is_debug=is_debug,
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# dataset=dataset,
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dataset=dataset,
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# is_train=is_train,
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is_train=is_train,
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# is_fivemodels=is_fivemodels,
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is_fivemodels=is_fivemodels,
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# val_size=val_size,
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val_size=val_size,
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# test_size=test_size,
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test_size=test_size,
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# settings=settings,
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settings=settings,
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# now=now,
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now=now,
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# etadata = etadata,
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etadata = etadata,
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# modelsindex = modelsindex,
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modelsindex = modelsindex,
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# data = data,
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data = data,
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# is_eta=is_eta,
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is_eta=is_eta,
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# )
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)
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# # 模型评估
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# # 模型评估
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model_results3 = model_losss(sqlitedb)
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model_results3 = model_losss(sqlitedb)
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