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https://issues.apache.org/jira/browse/SPARK-19422?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-19422.
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Resolution: Not A Problem
> 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
> Priority: Major
>
> 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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