public double[] call(){ final int numInstances = data.numInstances(); final double[] classificationResult = new double[numInstances]; for (int i=0; i<numInstances; i++) { try{ if (0 == i % 4000) counter.addAndGet(4000); classificationResult[i] = classifier.classifyInstance(data.instance(i)); }catch(Exception e){ IJ.showMessage("Could not apply Classifier!"); e.printStackTrace(); return null; } } return classificationResult; } };
public double[] call(){ final int numInstances = data.numInstances(); final double[] classificationResult = new double[numInstances]; for (int i=0; i<numInstances; i++) { try{ if (0 == i % 4000) counter.addAndGet(4000); classificationResult[i] = classifier.classifyInstance(data.instance(i)); }catch(Exception e){ IJ.showMessage("Could not apply Classifier!"); e.printStackTrace(); return null; } } return classificationResult; } };
switch (instance.classAttribute().type()) { case Attribute.NOMINAL: double classification = classifyInstance(instance); if (Utils.isMissingValue(classification)) { return dist; case Attribute.NUMERIC: case Attribute.DATE: dist[0] = classifyInstance(instance); return dist; default:
switch (instance.classAttribute().type()) { case Attribute.NOMINAL: double classification = classifyInstance(instance); if (Utils.isMissingValue(classification)) { return dist; case Attribute.NUMERIC: case Attribute.DATE: dist[0] = classifyInstance(instance); return dist; default:
classificationResult[0][i] = classifier.classifyInstance(data.get(i));
classificationResult[0][i] = classifier.classifyInstance(data.get(i));
protected void classify(Instance test) throws Exception { // copy Instance copy = (Instance)test.copy(); copy.setDataset(null); // delete attributes we don't need for(int i = excld.length-1; i >= 0; i--) { copy.deleteAttributeAt(this.excld[i]); } //set template copy.setDataset(this._template); //set class test.setValue(this.index,(int)(this.classifier.classifyInstance(copy))); //carry on if (next!=null) next.classify(test); }
protected void classify(Instance test) throws Exception { // copy Instance copy = (Instance)test.copy(); copy.setDataset(null); // delete attributes we don't need for(int i = excld.length-1; i >= 0; i--) { copy.deleteAttributeAt(this.excld[i]); } //set template copy.setDataset(this._template); //set class test.setValue(this.index,(int)(this.classifier.classifyInstance(copy))); //carry on if (next!=null) next.classify(test); }
protected void classify(Instance test) throws Exception { // copy Instance copy = (Instance)test.copy(); copy.setDataset(null); // delete attributes we don't need for(int i = excld.length-1; i >= 0; i--) { copy.deleteAttributeAt(this.excld[i]); } //set template copy.setDataset(this._template); //set class test.setValue(this.index,(int)(this.classifier.classifyInstance(copy))); //carry on if (next!=null) next.classify(test); }
protected void classify(Instance test) throws Exception { // copy Instance copy = (Instance)test.copy(); copy.setDataset(null); // delete attributes we don't need for(int i = excld.length-1; i >= 0; i--) { copy.deleteAttributeAt(this.excld[i]); } //set template copy.setDataset(this._template); //set class test.setValue(this.index,(int)(this.classifier.classifyInstance(copy))); //carry on if (next!=null) next.classify(test); }
classificationResult[0][i] = classifier.classifyInstance( ins );
classificationResult[0][i] = classifier.classifyInstance( ins );
probArray[0][ x+y*width ] = classifier.classifyInstance( ins );
probArray[0][ x+y*width ] = classifier.classifyInstance( ins );
probArray[0][ x+y*width ] = classifier.classifyInstance( ins );
probArray[0][ x+y*width ] = classifier.classifyInstance( ins );