[SPARK-8671] Add isotonic regression to the pipeline API

• Type: New Feature
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Fix Version/s: 1.5.0
• Component/s: ML
• Target Version/s: 1.5.0
• Assignee: Martin Zapletal
• Reporter: Xiangrui Meng
• Shepherd: Xiangrui Meng
• Created: 26/Jun/15 21:24
• Updated: 30/Jul/15 23:01
• Resolved: 30/Jul/15 22:57

Description

It is useful to have IsotonicRegression under the pipeline API for score calibration. The parameters should be the same as the implementation in spark.mllib package.

Issue Links

• depends upon: SPARK-3278 Isotonic regression
• is related to: SPARK-9493 Chain logistic regression with isotonic regression under the pipeline API
• links to: [Github] Pull Request #7517 (zapletal-martin)