Automate parity tests between scikit-learn and MLeap transformers

Description

This issue does not include a description.

Contributor guide

Tech stack

pythonscala

Domain

testingmachine learning

Issue type

test

DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.

3

Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.

1-3 hours

Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.

stale

ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.

needs investigation

Prerequisites

Basic Scala knowledgeFamiliarity with scikit learnUnderstanding of MLeap

Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.

40

Research direction

Investigate the existing test infrastructure in the MLeap repository (e.g., 'mleap core/src/test') to understand how tests are structured. Then design a script or test suite that compares the output of scikit learn transformers with MLeap transformers for a set of common transformations. Consider using a CI tool like GitHub Actions to run the parity tests automatically. Refer to any prior discussions or linked PRs that may provide context.