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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/10/22 16:19:27 UTC

[jira] [Assigned] (SPARK-11259) Params.validateParams() should be called automatically

     [ https://issues.apache.org/jira/browse/SPARK-11259?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-11259:
------------------------------------

    Assignee:     (was: Apache Spark)

> Params.validateParams() should be called automatically
> ------------------------------------------------------
>
>                 Key: SPARK-11259
>                 URL: https://issues.apache.org/jira/browse/SPARK-11259
>             Project: Spark
>          Issue Type: Bug
>          Components: ML
>            Reporter: Yanbo Liang
>
> Params.validateParams() not be called automatically currently. Such as the following code snippet will not throw exception which is not as expected.
> {code}
> val df = sqlContext.createDataFrame(
>       Seq(
>         (1, Vectors.dense(0.0, 1.0, 4.0), 1.0),
>         (2, Vectors.dense(1.0, 0.0, 4.0), 2.0),
>         (3, Vectors.dense(1.0, 0.0, 5.0), 3.0),
>         (4, Vectors.dense(0.0, 0.0, 5.0), 4.0))
>     ).toDF("id", "features", "label")
> val scaler = new MinMaxScaler()
>          .setInputCol("features")
>          .setOutputCol("features_scaled")
>          .setMin(10)
>          .setMax(0)
> val pipeline = new Pipeline().setStages(Array(scaler))
> pipeline.fit(df)
> {code}
> validateParams() should be called by PipelineStage automatically, we put it in transformSchema().



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