I checked the labels across the entire dataset and it looks like it has -1 and 1 (not the 0 and 1 I originally expected). I will try replacing the -1 with 0 and run it again.
On Mon, Mar 16, 2015 at 12:51 AM, Rishi Yadav <ri...@infoobjects.com> wrote: > 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! >> > >
