[SPARK-7667] MLlib Python API consistency check

• Type: Task
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 1.4.0
• Fix Version/s: 1.5.0
• Component/s: MLlib, PySpark
• Assignee: Yanbo Liang
• Reporter: Yanbo Liang
• Created: 15/May/15 11:22
• Updated: 30/Jun/15 01:50
• Resolved: 30/Jun/15 01:50

Description

Check and ensure the MLlib Python API(class/method/parameter) consistent with Scala.

The following APIs are not consistent:

• class
• method
  • recommendation.MatrixFactorizationModel.predictAll() (Because it's a public API, so not change it)
• parameter
  • feature.StandardScaler.fit()
  • many transform() function of feature module

Issue Links

• Is contained by: SPARK-7536 Audit MLlib Python API for 1.4
• links to: [Github] Pull Request #6856 (yanboliang)