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https://issues.apache.org/jira/browse/SPARK-15478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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lichenglin closed SPARK-15478.
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Resolution: Not A Problem
> LogisticRegressionModel coefficients() returns an empty vector
> --------------------------------------------------------------
>
> Key: SPARK-15478
> URL: https://issues.apache.org/jira/browse/SPARK-15478
> Project: Spark
> Issue Type: Bug
> Components: MLlib
> Affects Versions: 1.6.1
> Reporter: lichenglin
>
> I'm not sure this is a bug.
> I'm runing the sample code like this
> {code}
> public static void main(String[] args) {
> SQLContext sqlContext = getSQLContext();
> DataFrame training = sqlContext.read().format("libsvm")
>
> .load("file:///E:/workspace-mars/bigdata/sparkjob/data/mllib/sample_libsvm_data.txt");
> LogisticRegression lr = new
> LogisticRegression().setMaxIter(10).setRegParam(0.3).setElasticNetParam(0.8);
> // Fit the model
> LogisticRegressionModel lrModel = lr.fit(training);
> // Print the coefficients and intercept for logistic regression
> System.out.println("Coefficients: " + lrModel.coefficients() +
> " Intercept: " + lrModel.intercept());
> }
> {code}
> but the Coefficients always return a empty vector.
> {code}
> Coefficients: (692,[],[]) Intercept: 2.751535313041949
> {code}
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