java - dl4j canova example not working -

deeplearning4j canova example not working.i getting output of eval.stats nan (accuracy).i

import org.slf4j.loggerfactory;   public class imageclassifierexample {      public static void main(string[] args) throws ioexception, interruptedexception {           // path labeled images         string labeledpath = system.getproperty("user.home")+"/lfw";          list<string> labels = new arraylist<>();         for(file f : new file(labeledpath).listfiles()) {             labels.add(f.getname());         }         // instantiating recordreader pointing data path specified         // height , width each image.         recordreader recordreader = new imagerecordreader(28, 28, true,labels);         recordreader.initialize(new filesplit(new file(labeledpath)));          // canova dl4j         datasetiterator iter = new recordreaderdatasetiterator(recordreader, 784,labels.size());          // creating configuration neural net.         multilayerconfiguration conf = new neuralnetconfiguration.builder()                 .optimizationalgo(optimizationalgorithm.conjugate_gradient)                 .constraingradienttounitnorm(true)                 .weightinit(weightinit.distribution)                 .dist(new normaldistribution(1,1e-5))                 .iterations(100).learningrate(1e-3)                 .nin(784).nout(labels.size())                 .visibleunit(org.deeplearning4j.nn.conf.layers.rbm.visibleunit.gaussian)                 .hiddenunit(org.deeplearning4j.nn.conf.layers.rbm.hiddenunit.rectified)                 .layer(new org.deeplearning4j.nn.conf.layers.rbm())                 .list(4).hiddenlayersizes(600, 250, 100).override(3, new confoverride() {                     @override                     public void overridelayer(int i, neuralnetconfiguration.builder builder) {                         if (i == 3) {                             builder.layer(new org.deeplearning4j.nn.conf.layers.outputlayer());                             builder.activationfunction("softmax");                             builder.lossfunction(lossfunctions.lossfunction.mcxent);                          }                     }                 }).build();          multilayernetwork network = new multilayernetwork(conf);         network.setlisteners(arrays.<iterationlistener>aslist(new scoreiterationlistener(10)));          // training         while(iter.hasnext()){             dataset next = iter.next();             network.fit(next);         }          // testing -- we're not doing split test , train         // using same training data test.         iter.reset();         evaluation eval = new evaluation();         while(iter.hasnext()){             dataset next = iter.next();             indarray predict2 = network.output(next.getfeaturematrix());             eval.eval(next.getlabels(), predict2);         }          system.out.println(eval.stats());     } } 

your nn configuration looks it's based on old dl4j version. current release versions are:

dl4j: 0.4-rc3.8 nd4j: 0.4-rc3.8 canova: 0.0.0.14

please, try use recent versions