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

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

    [ https://issues.apache.org/jira/browse/SPARK-16863?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15405182#comment-15405182 ] 

Apache Spark commented on SPARK-16863:
--------------------------------------

User 'zhengruifeng' has created a pull request for this issue:
https://github.com/apache/spark/pull/14470

> 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