Would you mind to file a JIRA to track this issue? I will take a look when I have time.
2016-07-04 14:09 GMT-07:00 mshiryae <mikhail.shiry...@intel.com>: > Hi, > > I am trying to train model by MultilayerPerceptronClassifier. > > It works on sample data from > data/mllib/sample_multiclass_classification_data.txt with 4 features, 3 > classes and layers [4, 4, 3]. > But when I try to use other input files with other features and classes > (from here for example: > https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multiclass.html) > then I get errors. > > Example: > Input file aloi (128 features, 1000 classes, layers [128, 128, 1000]): > > > with block size = 1: > ERROR StrongWolfeLineSearch: Encountered bad values in function evaluation. > Decreasing step size to Infinity > ERROR LBFGS: Failure! Resetting history: > breeze.optimize.FirstOrderException: Line search failed > ERROR LBFGS: Failure again! Giving up and returning. Maybe the objective is > just poorly behaved? > > > with default block size = 128: > java.lang.ArrayIndexOutOfBoundsException > at java.lang.System.arraycopy(Native Method) > at > > org.apache.spark.ml.ann.DataStacker$$anonfun$3$$anonfun$apply$3$$anonfun$apply$4.apply(Layer.scala:629) > at > > org.apache.spark.ml.ann.DataStacker$$anonfun$3$$anonfun$apply$3$$anonfun$apply$4.apply(Layer.scala:628) > at scala.collection.immutable.List.foreach(List.scala:381) > at > > org.apache.spark.ml.ann.DataStacker$$anonfun$3$$anonfun$apply$3.apply(Layer.scala:628) > at > > org.apache.spark.ml.ann.DataStacker$$anonfun$3$$anonfun$apply$3.apply(Layer.scala:624) > > > > Even if I modify sample_multiclass_classification_data.txt file (rename all > 4-th features to 5-th) and run with layers [5, 5, 3] then I also get the > same errors as for file above. > > > So to resume: > I can't run training with default block size and with more than 4 features. > If I set block size to 1 then some actions are happened but I get errors > from LBFGS. > It is reproducible with Spark 1.5.2 and from master branch on github (from > 4-th July). > > Did somebody already met with such behavior? > Is there bug in MultilayerPerceptronClassifier or I use it incorrectly? > > Thanks. > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Spark-MLlib-MultilayerPerceptronClassifier-error-tp27279.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe e-mail: user-unsubscr...@spark.apache.org > >
