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From "zhengruifeng (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-19422) Cache input data in algorithms
Date Wed, 01 Feb 2017 08:36:52 GMT
zhengruifeng created SPARK-19422:
------------------------------------

             Summary: 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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