algorithmiaio/mlflow-algorithmia

mlflow extension for Algorithmia

mlflow-algorithmia's Issues

[FR] Compatibility with MLflow 2.0

Proposal Summary

In MLflow 2.0 (scheduled for release on Nov. 14), we will be making small modifications to the MLflow Model Server's RESTful scoring protocol (documented here: https://output.circle-artifacts.com/output/job/bb07270e-1101-421c-901c-01e72bc7b6df/artifacts/0/docs/build/html/models.html#deploy-mlflow-models) and the MLflow Deployment Client predict() API (documented here: https://output.circle-artifacts.com/output/job/bb07270e-1101-421c-901c-01e72bc7b6df/artifacts/0/docs/build/html/python_api/mlflow.deployments.html#mlflow.deployments.BaseDeploymentClient.predict).

For compatibility with MLflow 2.0, the mlflow-algorithmia plugin will need to be updated to conform to the new scoring protocol and Deployment Client interface. The MLflow maintainers are happy to assist with this process, and we apologize for the short notice.

Motivation

• What is the use case for this feature? Provide a richer, more extensible scoring protocol and broaden the deployment client prediction interface beyond dataframe inputs.
• Why is this use case valuable to support for MLflow Algorithmia Deployment plugin users in general? Necessary for compatibility for MLflow 2.0
• Why is it currently difficult to achieve this use case? Without these changes, the mlflow-algorithmia plugin will break in MLflow 2.0.