Ocronet.Dynamic.Recognizers.Lenet.LenetClassifier.Train C# (CSharp) Method

        protected override void Train(IDataset ds)
        {
            bool use_junk = PGetb("junk") && !DisableJunk;
            int nsamples = ds.nSamples();
            if (PExists("%nsamples"))
                nsamples += PGeti("%nsamples");

            Global.Debugf("info", "Training content classifier");

            if (CharClass.IsEmpty)
            {
                Initialize(CreateClassesFromDataset(ds));
            }
            if (use_junk/*&& !JunkClass.IsEmpty*/)
            {
                Intarray nonjunk = new Intarray();
                for (int i = 0; i < ds.nSamples(); i++)
                    if (ds.Cls(i) != jc())
                        nonjunk.Push(i);
                Datasubset nonjunkds = new Datasubset(ds, nonjunk);
                CharClass.TrainDense(nonjunkds, PGeti("epochs"));
            }
            else
            {
                CharClass.TrainDense(ds, PGeti("epochs"));
            }

            if (use_junk /*&& !JunkClass.IsEmpty*/)
            {
                Global.Debugf("info", "Training junk classifier");
                Intarray isjunk = new Intarray();
                int njunk = 0;
                for (int i = 0; i < ds.nSamples(); i++)
                {
                    bool j = (ds.Cls(i) == jc());
                    isjunk.Push(JunkClass.Classes[Convert.ToInt32(j)]);
                    if (j) njunk++;
                }
                if (njunk > 0)
                {
                    MappedDataset junkds = new MappedDataset(ds, isjunk);
                    JunkClass.TrainDense(junkds, PGeti("epochs"));
                }
                else
                {
                    Global.Debugf("warn", "you are training a junk class but there are no samples to train on");
                    JunkClass.DeleteLenet();
                }
            }
            PSet("%nsamples", nsamples);
        }