Azure – Getting empty experiment run using mlflow databricks
I am trying to run the following code iter_max = 100 CC = 1 save_model = False with mlflow.start_run(run_name=run_name, experiment_id=experiment.experiment_id, nested=True) as run: text_clf = Pipeline([ ('vect', CountVectorizer()), ('tfidf', TfidfTransformer()), ('clf',LogisticRegression(max_iter=iter_max, C=CC))]) text_clf.fit(X_train, y_train) run_id = mlflow.active_run().info.run_id` But I get…