[SPARK-14771] Python ML Param and UID issues

• Type: Umbrella
• Status: Resolved
• Priority: Major
• Resolution: Incomplete
• Component/s: ML, PySpark
• Labels: bulk-closed
• Assignee: Unassigned
• Reporter: Joseph K. Bradley
• Created: 20/Apr/16 22:22
• Updated: 21/May/19 04:15
• Resolved: 21/May/19 04:15

Description

This is an umbrella for tracking issues with PySpark ML {{Param}}s and ML UIDs, including:

• inconsistencies with Scala
• missing features (which are in Scala)
• bugs

Issue Links

• contains: SPARK-14772 Python ML Params.copy treats uid, paramMaps differently than Scala
• contains: SPARK-14931 Mismatched default Param values between pipelines in Spark and PySpark
• contains: SPARK-14087 PySpark ML JavaModel does not properly own params after being fit
• contains: SPARK-12468 getParamMap in Pyspark ML API returns empty dictionary in example for Documentation
• contains: SPARK-10931 PySpark ML Models should contain Param values
• contains: SPARK-21812 PySpark ML Models should not depend transfering params from Java
• contains: SPARK-15018 PySpark ML Pipeline raises unclear error when no stages set
• contains: SPARK-15741 PySpark Cleanup of _setDefault with seed=None
• is related to: SPARK-14706 Python ML persistence integration test