combust/mleap

Add support for spark-extensions transformers in Pyspark

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#570 opened on Sep 24, 2019

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 (10 comments) (0 reactions) (0 assignees)Scala (1,461 stars) (312 forks)batch import
enhancementepichelp wanted

Description

Creating this parent issue to track progress on adding support for spark-extensions transformers in Pyspark.

  • Support for StringMap
  • Support for MathBinary
  • Support for MathUnary
  • Support for WordLengthFilter
  • Support for MultinomialLabeler
  • Support for Imputer
  • Support for OneVsRest
  • Support for SupportVectorMachine
  • Add unit test support for Pyspark transformers

Related issues:

There are currently two examples of custom transformers in Pyspark under https://github.com/combust/mleap/pull/568.

Contributor guide

Tech stack
python
Domain
machine learningdata
Issue type
feature
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.
half day
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.
mostly clear
Prerequisites
Basic PySparkMLeap familiarity
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
50
Research direction
Examine the existing custom transformers implemented in PR #568 (StringMap, MathBinary, MathUnary) as examples. Then implement one of the remaining transformers (WordLengthFilter, MultinomialLabeler, Imputer, OneVsRest, SupportVectorMachine) following the same pattern. Refer to related issues #551, #552, #477, #495 for additional context and requirements. Ensure that unit tests are written for the new transformer.