topic MlFlow and Feature Store: mlflow.spark.autolog, using feature store on Databricks, FeatureStoreClient.log_model()? in Machine Learning https://community.databricks.com/t5/machine-learning/mlflow-and-feature-store-mlflow-spark-autolog-using-feature/m-p/32397#M1722 <P>As I am moving my first steps within the Databricks Machine Learning Workspace, I am getting confused by some features that by "documentation" seem to overlap. </P><P></P><P>Does autolog for spark on mlflow provide different tracking than using a training set created via a feature store client? Also, how does FeatureStoreClient.log_model() relate with MLFlow?</P> Fri, 31 Dec 2021 17:32:09 GMT Edmondo 2021-12-31T17:32:09Z MlFlow and Feature Store: mlflow.spark.autolog, using feature store on Databricks, FeatureStoreClient.log_model()? https://community.databricks.com/t5/machine-learning/mlflow-and-feature-store-mlflow-spark-autolog-using-feature/m-p/32397#M1722 <P>As I am moving my first steps within the Databricks Machine Learning Workspace, I am getting confused by some features that by "documentation" seem to overlap. </P><P></P><P>Does autolog for spark on mlflow provide different tracking than using a training set created via a feature store client? Also, how does FeatureStoreClient.log_model() relate with MLFlow?</P> Fri, 31 Dec 2021 17:32:09 GMT https://community.databricks.com/t5/machine-learning/mlflow-and-feature-store-mlflow-spark-autolog-using-feature/m-p/32397#M1722 Edmondo 2021-12-31T17:32:09Z