Loan_prediction_tracking_using_mlflow/utils.py

import mlflow
def create_mlflow_experiment(experiment_name:str=None,artifact_location:str=None)->str:
    if experiment_name is not None and artifact_location is not None:
        experiment_id=mlflow.create_experiment(name=experiment_name,artifact_location=artifact_location,tags={"env":"dev","version":"1.0.0"})
        return experiment_id
    else:
        raise ValueError("please Provide experiment_name and artifact_location")