https://community.databricks.com/t5/data-engineering/how-to-log-pickle-files-as-a-part-of-mlflow-experiment-run/m-p/24819#M17265 <P>Sure, pickle the object to a local file. Log it to your current run with mlflow.log_artifact. That's it. MLflow lets you log just about anything you want. However if you're experimenting with different variations on a sklearn Pipeline model, you could simply create and try each variation, log each directly with mlflow.sklearn.log_model, into one single MLflow experiment.</P> Thu, 17 Jun 2021 23:22:05 GMT sean_owen 2021-06-17T23:22:05Z https://community.databricks.com/t5/data-engineering/how-to-log-pickle-files-as-a-part-of-mlflow-experiment-run/m-p/24818#M17264 <P></P><P>I want to log certain artifacts as python pickle as part of mlflow experiment</P><P></P><P>Is there a way to achieve this?</P> Mon, 14 Jun 2021 13:16:35 GMT https://community.databricks.com/t5/data-engineering/how-to-log-pickle-files-as-a-part-of-mlflow-experiment-run/m-p/24818#M17264 User16826994223 2021-06-14T13:16:35Z https://community.databricks.com/t5/data-engineering/how-to-log-pickle-files-as-a-part-of-mlflow-experiment-run/m-p/24819#M17265 <P>Sure, pickle the object to a local file. Log it to your current run with mlflow.log_artifact. That's it. MLflow lets you log just about anything you want. However if you're experimenting with different variations on a sklearn Pipeline model, you could simply create and try each variation, log each directly with mlflow.sklearn.log_model, into one single MLflow experiment.</P> Thu, 17 Jun 2021 23:22:05 GMT https://community.databricks.com/t5/data-engineering/how-to-log-pickle-files-as-a-part-of-mlflow-experiment-run/m-p/24819#M17265 sean_owen 2021-06-17T23:22:05Z