[ https://issues.apache.org/jira/browse/SPARK-15571?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joseph K. Bradley updated SPARK-15571: -------------------------------------- Summary: Pipeline unit test improvements for 2.3 (was: Pipeline unit test improvements for 2.2) > Pipeline unit test improvements for 2.3 > --------------------------------------- > > Key: SPARK-15571 > URL: https://issues.apache.org/jira/browse/SPARK-15571 > Project: Spark > Issue Type: Test > Components: ML, PySpark > Reporter: Joseph K. Bradley > > Issue: > * There are several pieces of standard functionality shared by all > algorithms: Params, UIDs, fit/transform/save/load, etc. Currently, these > pieces are generally tested in ad hoc tests for each algorithm. > * This has led to inconsistent coverage, especially within the Python API. > Goal: > * Standardize unit tests for Scala and Python to improve and consolidate test > coverage for Params, persistence, and other common functionality. > * Eliminate duplicate code. Improve test coverage. Simplify adding these > standard unit tests for future algorithms and APIs. > This will require several subtasks. If you identify an issue, please create > a subtask, or comment below if the issue needs to be discussed first. -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org