parameter impurity given invalid value gini












0















I am reading this book. I am using Spark 2.4.0 on Scala 2.12 (standalone single machine cluster)



Based on this book's example I wrote this code



val model = new RandomForestRegressor()

 .setFeaturesCol("features")

 .setLabelCol("label")

 .setImpurity("gini")

 .setMaxBins(20)

 .setMaxDepth(20)

 .setNumTrees(50)


But I get an error



Exception in thread "main" java.lang.IllegalArgumentException: 

rfr_dc9303ee1fc9 parameter impurity given invalid value gini.

[error]     at org.apache.spark.ml.param.Param.validate(params.scala:78)

[error]     at org.apache.spark.ml.param.ParamPair.<init>(params.scala:656)

[error]     at org.apache.spark.ml.param.Param.$minus$greater(params.scala:87)

[error]     at org.apache.spark.ml.param.Params.set(params.scala:737)

[error]     at org.apache.spark.ml.param.Params.set$(params.scala:736)

[error]     at org.apache.spark.ml.PipelineStage.set(Pipeline.scala:42)


Full code at: https://github.com/abhsrivastava/allstate/blob/master/src/main/scala/com/abhi/RandomForestRegression.scala






scala apache-spark apache-spark-ml







share|improve this question


















  • 1





    gini is not an available option, variance is the only one according to the docs spark.apache.org/docs/latest/api/scala/…. gini and entropy are options available with random forest classification

    – sramalingam24
    Nov 27 '18 at 5:37













  • that resolved it thanks. I don't know why the book provided the wrong code sample.

    – Knows Not Much
    Nov 27 '18 at 6:24
















0















I am reading this book. I am using Spark 2.4.0 on Scala 2.12 (standalone single machine cluster)



Based on this book's example I wrote this code



val model = new RandomForestRegressor()

 .setFeaturesCol("features")

 .setLabelCol("label")

 .setImpurity("gini")

 .setMaxBins(20)

 .setMaxDepth(20)

 .setNumTrees(50)


But I get an error



Exception in thread "main" java.lang.IllegalArgumentException: 

rfr_dc9303ee1fc9 parameter impurity given invalid value gini.

[error]     at org.apache.spark.ml.param.Param.validate(params.scala:78)

[error]     at org.apache.spark.ml.param.ParamPair.<init>(params.scala:656)

[error]     at org.apache.spark.ml.param.Param.$minus$greater(params.scala:87)

[error]     at org.apache.spark.ml.param.Params.set(params.scala:737)

[error]     at org.apache.spark.ml.param.Params.set$(params.scala:736)

[error]     at org.apache.spark.ml.PipelineStage.set(Pipeline.scala:42)


Full code at: https://github.com/abhsrivastava/allstate/blob/master/src/main/scala/com/abhi/RandomForestRegression.scala






scala apache-spark apache-spark-ml







share|improve this question


















  • 1





    gini is not an available option, variance is the only one according to the docs spark.apache.org/docs/latest/api/scala/…. gini and entropy are options available with random forest classification

    – sramalingam24
    Nov 27 '18 at 5:37













  • that resolved it thanks. I don't know why the book provided the wrong code sample.

    – Knows Not Much
    Nov 27 '18 at 6:24














0












0








0








I am reading this book. I am using Spark 2.4.0 on Scala 2.12 (standalone single machine cluster)



Based on this book's example I wrote this code



val model = new RandomForestRegressor()

 .setFeaturesCol("features")

 .setLabelCol("label")

 .setImpurity("gini")

 .setMaxBins(20)

 .setMaxDepth(20)

 .setNumTrees(50)


But I get an error



Exception in thread "main" java.lang.IllegalArgumentException: 

rfr_dc9303ee1fc9 parameter impurity given invalid value gini.

[error]     at org.apache.spark.ml.param.Param.validate(params.scala:78)

[error]     at org.apache.spark.ml.param.ParamPair.<init>(params.scala:656)

[error]     at org.apache.spark.ml.param.Param.$minus$greater(params.scala:87)

[error]     at org.apache.spark.ml.param.Params.set(params.scala:737)

[error]     at org.apache.spark.ml.param.Params.set$(params.scala:736)

[error]     at org.apache.spark.ml.PipelineStage.set(Pipeline.scala:42)


Full code at: https://github.com/abhsrivastava/allstate/blob/master/src/main/scala/com/abhi/RandomForestRegression.scala






scala apache-spark apache-spark-ml







share|improve this question














I am reading this book. I am using Spark 2.4.0 on Scala 2.12 (standalone single machine cluster)



Based on this book's example I wrote this code



val model = new RandomForestRegressor()

 .setFeaturesCol("features")

 .setLabelCol("label")

 .setImpurity("gini")

 .setMaxBins(20)

 .setMaxDepth(20)

 .setNumTrees(50)


But I get an error



Exception in thread "main" java.lang.IllegalArgumentException: 

rfr_dc9303ee1fc9 parameter impurity given invalid value gini.

[error]     at org.apache.spark.ml.param.Param.validate(params.scala:78)

[error]     at org.apache.spark.ml.param.ParamPair.<init>(params.scala:656)

[error]     at org.apache.spark.ml.param.Param.$minus$greater(params.scala:87)

[error]     at org.apache.spark.ml.param.Params.set(params.scala:737)

[error]     at org.apache.spark.ml.param.Params.set$(params.scala:736)

[error]     at org.apache.spark.ml.PipelineStage.set(Pipeline.scala:42)


Full code at: https://github.com/abhsrivastava/allstate/blob/master/src/main/scala/com/abhi/RandomForestRegression.scala






scala apache-spark apache-spark-ml




scala apache-spark apache-spark-ml






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 27 '18 at 5:31









Knows Not MuchKnows Not Much

10.7k28102208




10.7k28102208








  • 1





    gini is not an available option, variance is the only one according to the docs spark.apache.org/docs/latest/api/scala/…. gini and entropy are options available with random forest classification

    – sramalingam24
    Nov 27 '18 at 5:37













  • that resolved it thanks. I don't know why the book provided the wrong code sample.

    – Knows Not Much
    Nov 27 '18 at 6:24














  • 1





    gini is not an available option, variance is the only one according to the docs spark.apache.org/docs/latest/api/scala/…. gini and entropy are options available with random forest classification

    – sramalingam24
    Nov 27 '18 at 5:37













  • that resolved it thanks. I don't know why the book provided the wrong code sample.

    – Knows Not Much
    Nov 27 '18 at 6:24








1




1





gini is not an available option, variance is the only one according to the docs spark.apache.org/docs/latest/api/scala/…. gini and entropy are options available with random forest classification

– sramalingam24
Nov 27 '18 at 5:37







gini is not an available option, variance is the only one according to the docs spark.apache.org/docs/latest/api/scala/…. gini and entropy are options available with random forest classification

– sramalingam24
Nov 27 '18 at 5:37















that resolved it thanks. I don't know why the book provided the wrong code sample.

– Knows Not Much
Nov 27 '18 at 6:24





that resolved it thanks. I don't know why the book provided the wrong code sample.

– Knows Not Much
Nov 27 '18 at 6:24












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