[jira] [Commented] (SPARK-19422) Cache input data in algorithms

["Joseph K. Bradley (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-19422?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16162008#comment-16162008 ] 

Joseph K. Bradley commented on SPARK-19422:
-------------------------------------------

Linking [SPARK-21972], which may interact with this PR.  Let's be very careful about changing the behavior, though I agree this will be valuable to improve.

> Cache input data in algorithms
> ------------------------------
>
>                 Key: SPARK-19422
>                 URL: https://issues.apache.org/jira/browse/SPARK-19422
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>    Affects Versions: 2.2.0
>            Reporter: zhengruifeng
>
> Now some algorithms cache the input dataset if it was not cached any more {{StorageLevel.NONE}}:
> {{FeedForwardTrainer}}, {{LogisticRegression}}, {{OneVsRest}}, {{KMeans}}, {{AFTSurvivalRegression}}, {{IsotonicRegression}}, {{LinearRegression}} with non-WSL solver
> It maybe reasonable to cache input for others:
> {{DecisionTreeClassifier}}, {{GBTClassifier}}, {{RandomForestClassifier}}, {{LinearSVC}}
> {{BisectingKMeans}}, {{GaussianMixture}}, {{LDA}}
> {{DecisionTreeRegressor}}, {{GBTRegressor}}, {{GeneralizedLinearRegression}} with IRLS solver, {{RandomForestRegressor}}
> {{NaiveBayes}} is not included since it only make one pass on the data.
> {{MultilayerPerceptronClassifier}} is not included since the data is cached in {{FeedForwardTrainer.train}}



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