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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/03/20 09:12:33 UTC
[jira] [Commented] (SPARK-14027) Add parameter check to
GradientDescent
[ https://issues.apache.org/jira/browse/SPARK-14027?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15203151#comment-15203151 ]
Apache Spark commented on SPARK-14027:
--------------------------------------
User 'zhengruifeng' has created a pull request for this issue:
https://github.com/apache/spark/pull/11849
> Add parameter check to GradientDescent
> --------------------------------------
>
> Key: SPARK-14027
> URL: https://issues.apache.org/jira/browse/SPARK-14027
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Reporter: zhengruifeng
> Priority: Minor
>
> The following code should throw some exception, not just run successfully and return a model:
> val data = MLUtils.loadLibSVMFile(sc, "/tmp/sample_libsvm_data.txt")
> val model = LogisticRegressionWithSGD.train(data, -2, -0.01, 0.5)
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