ca you share some sample data On Sun, Mar 15, 2015 at 8:51 PM, Rohit U <rjupadhy...@gmail.com> wrote:
> Hi, > > I am trying to run LogisticRegressionWithSGD on RDD of LabeledPoints > loaded using loadLibSVMFile: > > val logistic: RDD[LabeledPoint] = MLUtils.loadLibSVMFile(sc, > "s3n://logistic-regression/epsilon_normalized") > > val model = LogisticRegressionWithSGD.train(logistic, 100) > > It gives an input validation error after about 10 minutes: > > org.apache.spark.SparkException: Input validation failed. > at > org.apache.spark.mllib.regression.GeneralizedLinearAlgorithm.run(GeneralizedLinearAlgorithm.scala:162) > at > org.apache.spark.mllib.regression.GeneralizedLinearAlgorithm.run(GeneralizedLinearAlgorithm.scala:146) > at > org.apache.spark.mllib.classification.LogisticRegressionWithSGD$.train(LogisticRegression.scala:157) > at > org.apache.spark.mllib.classification.LogisticRegressionWithSGD$.train(LogisticRegression.scala:192) > > From reading this bug report ( > https://issues.apache.org/jira/browse/SPARK-2575) since I am loading > LibSVM format file there should be only 0/1 in the dataset and should not > be facing the issue in the bug report. Is there something else I'm missing > here? > > Thanks! >
