mlflow.set_experiment('Data Drift Evaluation with Evidently')
for date in experiment_batches:
with mlflow.start_run() as run: #inside brackets run_name='test'
mlflow.log_param("begin", date[0])
mlflow.log_param("end", date[1])
metrics = eval_drift(raw_data.loc[reference_dates[0]:reference_dates[1]],
raw_data.loc[date[0]:date[1]],
column_mapping=data_columns)
mlflow.log_metric(feature[0], round(feature[1], 3))