zhengruifeng created SPARK-19422:
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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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