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https://issues.apache.org/jira/browse/SPARK-18036?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15765032#comment-15765032
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Ilya Matiach commented on SPARK-18036:
--------------------------------------
Weichen Xu, are you working on this issue or have you resolved it? I am
interested in investigating this bug.
> Decision Trees do not handle edge cases
> ---------------------------------------
>
> Key: SPARK-18036
> URL: https://issues.apache.org/jira/browse/SPARK-18036
> Project: Spark
> Issue Type: Bug
> Components: ML, MLlib
> Reporter: Seth Hendrickson
> Priority: Minor
>
> Decision trees/GBT/RF do not handle edge cases such as constant features or
> empty features. For example:
> {code}
> val dt = new DecisionTreeRegressor()
> val data = Seq(LabeledPoint(1.0, Vectors.dense(Array.empty[Double]))).toDF()
> dt.fit(data)
> java.lang.UnsupportedOperationException: empty.max
> at scala.collection.TraversableOnce$class.max(TraversableOnce.scala:229)
> at scala.collection.mutable.ArrayOps$ofInt.max(ArrayOps.scala:234)
> at
> org.apache.spark.ml.tree.impl.DecisionTreeMetadata$.buildMetadata(DecisionTreeMetadata.scala:207)
> at org.apache.spark.ml.tree.impl.RandomForest$.run(RandomForest.scala:105)
> at
> org.apache.spark.ml.regression.DecisionTreeRegressor.train(DecisionTreeRegressor.scala:93)
> at
> org.apache.spark.ml.regression.DecisionTreeRegressor.train(DecisionTreeRegressor.scala:46)
> at org.apache.spark.ml.Predictor.fit(Predictor.scala:90)
> ... 52 elided
> {code}
> as well as
> {code}
> val dt = new DecisionTreeRegressor()
> val data = Seq(LabeledPoint(1.0, Vectors.dense(0.0, 0.0, 0.0))).toDF()
> dt.fit(data)
> java.lang.UnsupportedOperationException: empty.maxBy
> at scala.collection.TraversableOnce$class.maxBy(TraversableOnce.scala:236)
> at
> scala.collection.SeqViewLike$AbstractTransformed.maxBy(SeqViewLike.scala:37)
> at
> org.apache.spark.ml.tree.impl.RandomForest$.binsToBestSplit(RandomForest.scala:846)
> {code}
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