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https://issues.apache.org/jira/browse/SPARK-20199?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15967574#comment-15967574
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pralabhkumar commented on SPARK-20199:
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Shouldn't there be a parameter in GBMParameters()
val gbmParams = new GBMParameters()
gbmParams._featuresubsetStrategy="auto"
and then in
private[ml] def train(data: RDD[LabeledPoint],
oldStrategy: OldStrategy): DecisionTreeRegressionModel = {
we should have
oldStrategy.getStrategy() and set it in
val trees = RandomForest.run(data, oldStrategy, numTrees = 1,
featureSubsetStrategy = oldStrategy.getStrategy(), seed = $(seed), instr =
Some(instr), parentUID = Some(uid))
> GradientBoostedTreesModel doesn't have Column Sampling Rate Paramenter
> -----------------------------------------------------------------------
>
> Key: SPARK-20199
> URL: https://issues.apache.org/jira/browse/SPARK-20199
> Project: Spark
> Issue Type: Improvement
> Components: ML, MLlib
> Affects Versions: 2.1.0
> Reporter: pralabhkumar
>
> Spark GradientBoostedTreesModel doesn't have Column sampling rate parameter
> . This parameter is available in H2O and XGBoost.
> Sample from H2O.ai
> gbmParams._col_sample_rate
> Please provide the parameter .
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