[jira] [Created] (SPARK-16863) ProbabilisticClassifier.fit check threshoulds' length

["zhengruifeng (JIRA)" <ji...@apache.org>]

zhengruifeng created SPARK-16863:
------------------------------------

             Summary: 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-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org