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Nick Pentreath commented on SPARK-20503: ---------------------------------------- Checked: * {{ALS}}: ** {{coldStartStrategy}} param exposed in SPARK-14489 ** {{recommendforX}} methods exposed in SPARK-20300 * {{Imputer}} Python API in SPARK-15040 * {{FPGrowth}} Python API (including {{associationRules}} in SPARK-19281 * {{LinearSVC}} Python API in SPARK-19336 * {{ChiSquareTest}} Python API in SPARK-20040 * {{Correlation}} Python API in SPARK-20076 The only API gap I found os far is the constrained LR params linked in in SPARK-20601 above. As per usual procedure these will not block the release. > ML 2.2 QA: API: Python API coverage > ----------------------------------- > > Key: SPARK-20503 > URL: https://issues.apache.org/jira/browse/SPARK-20503 > Project: Spark > Issue Type: Sub-task > Components: Documentation, ML, PySpark > Reporter: Joseph K. Bradley > Priority: Blocker > > For new public APIs added to MLlib ({{spark.ml}} only), we need to check the > generated HTML doc and compare the Scala & Python versions. > * *GOAL*: Audit and create JIRAs to fix in the next release. > * *NON-GOAL*: This JIRA is _not_ for fixing the API parity issues. > We need to track: > * Inconsistency: Do class/method/parameter names match? > * Docs: Is the Python doc missing or just a stub? We want the Python doc to > be as complete as the Scala doc. > * API breaking changes: These should be very rare but are occasionally either > necessary (intentional) or accidental. These must be recorded and added in > the Migration Guide for this release. > ** Note: If the API change is for an Alpha/Experimental/DeveloperApi > component, please note that as well. > * Missing classes/methods/parameters: We should create to-do JIRAs for > functionality missing from Python, to be added in the next release cycle. > *Please use a _separate_ JIRA (linked below as "requires") for this list of > to-do items.* -- 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