[SPARK-6254] MLlib Python API parity check at 1.3 release

• Type: Umbrella
• Status: Closed
• Priority: Major
• Resolution: Done
• Affects Version/s: 1.3.0
• Component/s: MLlib, PySpark
• Assignee: Joseph K. Bradley
• Reporter: Joseph K. Bradley
• Created: 10/Mar/15 22:36
• Updated: 18/Jun/15 22:16
• Resolved: 18/Jun/15 22:16

Description

This is an umbrella JIRA to list MLlib features which are present in the Scala API but missing in the Python API. This check was performed during the branch-1.3 release cutting period.

I am also linking existing related JIRAs:

• sub-tasks: algorithms with a Python API but with missing features
• related to: algorithms with no Python API (+ doc issues)

Issue Links

• is related to: SPARK-5962 [MLLIB] Python support for Power Iteration Clustering
• is related to: SPARK-6264 Python API for FPGrowth
• is related to: SPARK-6267 Python API for IsotonicRegression
• is related to: SPARK-5913 Python API for ChiSqSelector
• is related to: SPARK-6259 Python API for LDA
• is related to: SPARK-6598 Python API for IDFModel
• is related to: SPARK-6615 Add missing methods to Word2Vec's Python API
• is related to: SPARK-6643 Python API for StandardScalerModel
• is related to: SPARK-7203 Python API for local linear algebra
• is related to: SPARK-3258 Python API for streaming MLlib algorithms
• is related to: SPARK-5694 Python API for evaluation metrics
• is related to: SPARK-6100 Distributed linear algebra in PySpark/MLlib
• is related to: SPARK-6173 Python doc parity with Scala/Java in MLlib
• is related to: SPARK-6192 Enhance MLlib's Python API (GSoC 2015)