Java tutorial
/* * Copyright 2014 Giannis Giannakopoulos. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package gr.ntua.ece.cslab.panic.core.models; import java.util.HashMap; import weka.classifiers.functions.GaussianProcesses; /** * * @author Giannis Giannakopoulos */ public class GaussianCurves extends AbstractWekaModel { public GaussianCurves() { super(); this.classifier = new GaussianProcesses(); } @Override public void configureClassifier(HashMap<String, String> conf) { // nothing for now } }