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$(params.scala:736)
[error] at org.apache.spark.ml.PipelineStage.set(Pipeline.scala:42)
Full code at: https://github.com/abhsrivastava/allstate/blob/master/src/main/scala/com/abhi/RandomForestRegression.scala
scala apache-spark apache-spark-ml
asked Nov 27 '18 at 5:31
Knows Not MuchKnows Not Much
10.7k28102208
add a comment |
0
I am reading this book. I am using Spark 2.4.0 on Scala 2.12 (standalone single machine cluster)
Based on this book's example I wrote this code
val model = new RandomForestRegressor()
.setFeaturesCol("features")
.setLabelCol("label")
.setImpurity("gini")
.setMaxBins(20)
.setMaxDepth(20)
.setNumTrees(50)
But I get an error
Exception in thread "main" java.lang.IllegalArgumentException:
rfr_dc9303ee1fc9 parameter impurity given invalid value gini.
[error] at org.apache.spark.ml.param.Param.validate(params.scala:78)
[error] at org.apache.spark.ml.param.ParamPair.<init>(params.scala:656)
[error] at org.apache.spark.ml.param.Param.$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
asked Nov 27 '18 at 5:31
Knows Not MuchKnows Not Much
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
add a comment |
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$(params.scala:736)
[error] at org.apache.spark.ml.PipelineStage.set(Pipeline.scala:42)
Full code at: https://github.com/abhsrivastava/allstate/blob/master/src/main/scala/com/abhi/RandomForestRegression.scala
scala apache-spark apache-spark-ml
asked Nov 27 '18 at 5:31
Knows Not MuchKnows Not Much
10.7k28102208
I am reading this book. I am using Spark 2.4.0 on Scala 2.12 (standalone single machine cluster)
Based on this book's example I wrote this code
val model = new RandomForestRegressor()
.setFeaturesCol("features")
.setLabelCol("label")
.setImpurity("gini")
.setMaxBins(20)
.setMaxDepth(20)
.setNumTrees(50)
But I get an error
Exception in thread "main" java.lang.IllegalArgumentException:
rfr_dc9303ee1fc9 parameter impurity given invalid value gini.
[error] at org.apache.spark.ml.param.Param.validate(params.scala:78)
[error] at org.apache.spark.ml.param.ParamPair.<init>(params.scala:656)
[error] at org.apache.spark.ml.param.Param.$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
asked Nov 27 '18 at 5:31
Knows Not MuchKnows Not Much
10.7k28102208
asked Nov 27 '18 at 5:31
Knows Not MuchKnows Not Much
10.7k28102208
asked Nov 27 '18 at 5:31
Knows Not MuchKnows Not Much
10.7k28102208
asked Nov 27 '18 at 5:31
Knows Not MuchKnows Not Much
10.7k28102208
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
add a comment |
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
add a comment |
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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