[ https://issues.apache.org/jira/browse/SPARK-16863?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-16863: ------------------------------------ Assignee: (was: Apache Spark) > ProbabilisticClassifier.fit check threshoulds' length > ----------------------------------------------------- > > Key: SPARK-16863 > URL: https://issues.apache.org/jira/browse/SPARK-16863 > Project: Spark > Issue Type: Improvement > Components: ML > Reporter: zhengruifeng > Priority: Minor > > {code} > val path = > "./spark-2.0.0-bin-hadoop2.7/data/mllib/sample_multiclass_classification_data.txt" > val data = spark.read.format("libsvm").load(path) > val rf = new RandomForestClassifier > rf.setThresholds(Array(0.1,0.2,0.3,0.4,0.5)) > val rfm = rf.fit(data) > rfm: org.apache.spark.ml.classification.RandomForestClassificationModel = > RandomForestClassificationModel (uid=rfc_fec31a5b954d) with 20 trees > rfm.numClasses > res2: Int = 3 > rfm.getThresholds > res3: Array[Double] = Array(0.1, 0.2, 0.3, 0.4, 0.5) > rfm.transform(data) > java.lang.IllegalArgumentException: requirement failed: > RandomForestClassificationModel.transform() called with non-matching > numClasses and thresholds.length. numClasses=3, but thresholds has length 5 > at scala.Predef$.require(Predef.scala:224) > at > org.apache.spark.ml.classification.ProbabilisticClassificationModel.transform(ProbabilisticClassifier.scala:101) > ... 72 elided > {code} > {{ProbabilisticClassifier.fit()}} should throw some exception if it's > threshoulds is set incorrectly. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org