[ https://issues.apache.org/jira/browse/SPARK-15478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
lichenglin updated SPARK-15478: ------------------------------- Description: 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} was: 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> > 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