update_learning.py

def update_learning(recall,recall_live):
        
        s3_client = boto3.Session(profile_name=None).client('s3')
        s3_resource = boto3.resource('s3')
        artifact_bucket = 'YOUR ARTIFACT BUCKET ON S3'
        
        if recall>recall_live:
            # Push live champion to history
            try:
                object = s3_client.get_object(Bucket=artifact_bucket, Key='mlflow/'+proj_id+'/live_model_run_history')
                live_hist = object['Body'].read().decode("utf-8")
            except botocore.exceptions.ClientError as e:
                live_hist=''
            object = s3_resource.Object(artifact_bucket, 'mlflow/'+proj_id+'/live_model_run_history')
            object.put(Body=live_run+" \n"+live_hist)
            
            #Promote active challenger to live champion
            object = s3_resource.Object(artifact_bucket, 'mlflow/'+proj_id+'/live_model_run')
            object.put(Body=active_run)
            print("INFO: New model learnt.")
            return 1
        else:
            print("INFO: Old model has better performance, keeping it.")
        return 0