lichenglin created SPARK-15478:
----------------------------------
Summary: LogisticRegressionModel 's Coefficients always be a
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 don't know if 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>
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
