apache-spark

MLflow Roadmap Item

This is an MLflow Roadmap item that has been prioritized by the MLflow maintainers. We're seeking help with the implementation of roadmap items tagged with the help wanted label.

For requirements clarifications and implementation questions, or to request a PR review, please tag @BenWilson2 in your communications related to this issue.

Proposal Summary

Includ

Steps to reproduce:

1. From the UI, create a repository.
2. Upload a file.
3. From the uncommitted tab, commit the change.
4. From the Objects tab, click the "branch: main" drop down.
5. Click the arrow on the right.
6. Select the first commit with the "Repository created" message.

Result: the "get started" screen appears.
Expected: screen should be empty, because this is a past commit.

This is to track implementation of the ML-Features: https://spark.apache.org/docs/latest/ml-features

Bucketizer has been implemented in dotnet/spark#378 but there are more features that should be implemented.

• Feature Extractors
  • TF-IDF
  • Word2Vec (dotnet/spark#491)
  • CountVectorizer (https://github.com/dotnet/spark/p