[jira] [Updated] (SPARK-57860) Apply HasIntermediateStorageLevel to remaining classification/clustering/regression estimators

["Mao Li (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-57860?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Mao Li updated SPARK-57860:
---------------------------
    Summary: Apply HasIntermediateStorageLevel to remaining classification/clustering/regression estimators  (was: Add HasIntermediateStorageLevel shared param trait and apply to classification/clustering/regression estimators)

> Apply HasIntermediateStorageLevel to remaining classification/clustering/regression estimators
> ----------------------------------------------------------------------------------------------
>
>                 Key: SPARK-57860
>                 URL: https://issues.apache.org/jira/browse/SPARK-57860
>             Project: Spark
>          Issue Type: Sub-task
>          Components: MLlib
>    Affects Versions: 4.0.0
>            Reporter: Mao Li
>            Priority: Major
>
> Add a HasIntermediateStorageLevel trait to sharedParams.scala, following the same pattern
> as other Has* param traits. Apply it to the following estimators that currently hardcode
> StorageLevel.MEMORY_AND_DISK for intermediate dataset persistence:
> Classification: LogisticRegression, LinearSVC, FMClassifier, OneVsRest
> Clustering: KMeans, GaussianMixture, LDA
> Regression: LinearRegression, AFTSurvivalRegression, FMRegressor, IsotonicRegression
> Other: FPGrowth
> Also update the corresponding PySpark classes.
> Part of SPARK-47103.



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