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https://issues.apache.org/jira/browse/SPARK-6496?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14377759#comment-14377759
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Yanbo Liang edited comment on SPARK-6496 at 3/24/15 12:08 PM:
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[~srowen] I have address this issue at github. I guess you have seen it.
was (Author: yanboliang):
[~srowen] I have address this issue at github.
> Multinomial Logistic Regression failed when initialWeights is not null
> ----------------------------------------------------------------------
>
> Key: SPARK-6496
> URL: https://issues.apache.org/jira/browse/SPARK-6496
> Project: Spark
> Issue Type: Bug
> Components: MLlib
> Affects Versions: 1.3.0
> Reporter: Yanbo Liang
>
> This bug is easy to reproduce, when use Multinomial Logistic Regression to
> train multiclass classification model with non-null initialWeights, it will
> throw an exception.
> When you run
> {code}
> val lr = new LogisticRegressionWithLBFGS().setNumClasses(3)
> val model = lr.run(input, initialWeights)
> {code}
> It will throw
> {code}
> requirement failed: LogisticRegressionModel.load with numClasses = 3 and
> numFeatures = -1 expected weights of length -2 (without intercept) or 0 (with
> intercept), but was given weights of length 10
> java.lang.IllegalArgumentException: requirement failed:
> LogisticRegressionModel.load with numClasses = 3 and numFeatures = -1
> expected weights of length -2 (without intercept) or 0 (with intercept), but
> was given weights of length 10
> {code}
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