[SPARK-11938] Expose numFeatures in all ML PredictionModel for PySpark

• Type: Sub-task
• Status: Resolved
• Priority: Minor
• Resolution: Duplicate
• Component/s: ML, PySpark
• Assignee: Kai
• Reporter: Yanbo Liang
• Created: 24/Nov/15 03:27
• Updated: 04/Aug/16 17:26
• Resolved: 04/Aug/16 17:26

Description

SPARK-9715 provide support for numFeatures in all ML PredictionModel, we should expose it at Python side.

Issue Links

• duplicates: SPARK-15113 Add missing numFeatures & numClasses to wrapped JavaClassificationModel
• Is contained by: SPARK-15069 GSoC 2016: Exposing more R and Python APIs for MLlib
• is required by: SPARK-14813 ML 2.0 QA: API: Python API coverage
• is required by: SPARK-16486 Python API parity issues from 2.0 QA
• links to: [Github] Pull Request #9936 (Lewuathe)
• links to: [Github] Pull Request #13922 (vectorijk)