:orphan: Monitoring configuration ======================== { "period": "week", indicates monitoring frequency running. Can be `day`, `week`, `month` or `year` "train_data" : { "NeomarilTrainingExecution": "1", executionId from training promoted at Neomaril // "train_date_col": "date", name of the date column for the records "train_date_ref": "2022-09-01", date the model data was acquired } "input_cols": ["mean_radius", "mean_texture"] , name of the features columns that the monitoring will run. Need to be the same of the train data in MLFlow and the output of the pre-process function "output_cols": ["proba", "pred"] , name of the output columns that the monitoring will run. Need to be the same of the output data in MLFlow and the output of the model scoring function }