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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-19422) Cache input data in algorithms
Date Wed, 01 Feb 2017 08:40:52 GMT

    [ https://issues.apache.org/jira/browse/SPARK-19422?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15848132#comment-15848132
] 

Apache Spark commented on SPARK-19422:
--------------------------------------

User 'zhengruifeng' has created a pull request for this issue:
https://github.com/apache/spark/pull/16763

> 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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