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https://issues.apache.org/jira/browse/SPARK-14027?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-14027.
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Resolution: Duplicate
Let's roll this into one JIRA
> 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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