Hi ,
In MLOPs e2e --> 01-mlops-quickstart -->01_feature_engineering . Code ran into DBDemos.create_mockup_automl_run(f"{xp_path}/{xp_name}", churn_features.toPandas(), Which created automl_spli_col_ logged the mdoel , Which is the same data again pulled in 02_best_automl_run
Download the artifact and read it into a Pandas DataFrame
input_data_path = mlflow.artifacts.download_artifacts(run_id=data_run['run_id'], artifact_path="data", dst_path=input_temp_dir)
df_loaded = pd.read_parquet(os.path.join(input_data_path, "training_data"))
is used for training the model , using scikit learn ,
This issue was identified in 04_challenger_validation , So i had to retrain again removing that column again