[SPARK-6255] Python MLlib API missing items: Classification

• Type: Sub-task
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 1.3.0
• Fix Version/s: 1.4.0
• Component/s: MLlib, PySpark
• Target Version/s: 1.4.0
• Assignee: Yanbo Liang
• Reporter: Joseph K. Bradley
• Created: 10/Mar/15 22:38
• Updated: 31/Mar/15 18:32
• Resolved: 31/Mar/15 18:32

Description

This JIRA lists items missing in the Python API for this sub-package of MLlib.
This list may be incomplete, so please check again when sending a PR to add these features to the Python API.

Also, please check for major disparities between documentation; some parts of the Python API are less well-documented than their Scala counterparts. Some items may be listed in the umbrella JIRA linked to this task.

LogisticRegressionWithLBFGS

• setNumClasses
• setValidateData

LogisticRegressionModel

• threshold
• numClasses
• numFeatures

SVMWithSGD

• setValidateData

SVMModel

• threshold

(updated to use "threshold" property instead of "getThreshold")

Issue Links

• links to: [Github] Pull Request #5137 (yanboliang)