if (h.getDebug()) System.out.println(":- Classifier -: "+h.getClass().getName()+": "+Arrays.toString(h.getOptions())); if (h.getDebug()) { System.out.println("Training classifier on initial window ..."); if (h.getDebug()) { System.out.println("Done (in "+(train_time/1000.0)+" s)"); if (h.getDebug()) { System.out.println("--------------------------------------------------------------------------------"); System.out.print("#"+Utils.padLeft("w",6)+" "+Utils.padLeft("n",6)); if (h.getDebug()) { System.out.print("#"+Utils.doubleToString((double)w+1,6,0)+" "+Utils.doubleToString((double)n,6,0)); n = 0; if (h.getDebug()) { System.out.println("--------------------------------------------------------------------------------");
if (h.getDebug()) System.out.println(":- Classifier -: "+h.getClass().getName()+": "+Arrays.toString(h.getOptions())); if (h.getDebug()) { System.out.println("Training classifier on initial window ..."); if (h.getDebug()) { System.out.println("Done (in "+(train_time/1000.0)+" s)"); if (h.getDebug()) { System.out.println("--------------------------------------------------------------------------------"); System.out.print("#"+Utils.padLeft("w",6)+" "+Utils.padLeft("n",6)); if (h.getDebug()) { System.out.print("#"+Utils.doubleToString((double)w+1,6,0)+" "+Utils.doubleToString((double)n,6,0)); n = 0; if (h.getDebug()) { System.out.println("--------------------------------------------------------------------------------");
Instances D_train = D.trainCV(numFolds,i); Instances D_test = D.testCV(numFolds,i); if (h.getDebug()) System.out.println(":- Fold ["+i+"/"+numFolds+"] -: "+MLUtils.getDatasetName(D)+"\tL="+D.classIndex()+"\tD(t:T)=("+D_train.numInstances()+":"+D_test.numInstances()+")\tLC(t:T)="+Utils.roundDouble(MLUtils.labelCardinality(D_train,D.classIndex()),2)+":"+Utils.roundDouble(MLUtils.labelCardinality(D_test,D.classIndex()),2)+")");
Instances D_train = D.trainCV(numFolds,i); Instances D_test = D.testCV(numFolds,i); if (h.getDebug()) System.out.println(":- Fold ["+i+"/"+numFolds+"] -: "+MLUtils.getDatasetName(D)+"\tL="+D.classIndex()+"\tD(t:T)=("+D_train.numInstances()+":"+D_test.numInstances()+")\tLC(t:T)="+Utils.roundDouble(MLUtils.labelCardinality(D_train,D.classIndex()),2)+":"+Utils.roundDouble(MLUtils.labelCardinality(D_test,D.classIndex()),2)+")");
if (h.getDebug()) System.out.println("Loading and preparing dataset ..."); if (h.getDebug()) System.out.println(":- Dataset -: "+MLUtils.getDatasetName(D_train)+"\tL="+L+"\tD(t:T)=("+D_train.numInstances()+":"+D_test.numInstances()+")\tLC(t:T)="+Utils.roundDouble(MLUtils.labelCardinality(D_train,L),2)+":"+Utils.roundDouble(MLUtils.labelCardinality(D_test,L),2)+")");
if (h.getDebug()) System.out.println("Loading and preparing dataset ..."); if (h.getDebug()) System.out.println(":- Dataset -: "+MLUtils.getDatasetName(D_train)+"\tL="+L+"\tD(t:T)=("+D_train.numInstances()+":"+D_test.numInstances()+")\tLC(t:T)="+Utils.roundDouble(MLUtils.labelCardinality(D_train,L),2)+":"+Utils.roundDouble(MLUtils.labelCardinality(D_test,L),2)+")");