/* * Apache License * Version 2.0, January 2004 * http://www.apache.org/licenses/ * * Copyright 2013 Aurelian Tutuianu * Copyright 2014 Aurelian Tutuianu * Copyright 2015 Aurelian Tutuianu * Copyright 2016 Aurelian Tutuianu * * 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 rapaio.io; import org.junit.Test; import rapaio.data.Frame; import rapaio.data.sample.RowSampler; import rapaio.datasets.Datasets; import rapaio.ml.classifier.CFit; import rapaio.ml.classifier.boost.AdaBoostSAMME; import rapaio.ml.classifier.tree.CTree; import rapaio.ml.eval.Confusion; import java.io.File; /** * @author <a href="mailto:padreati@yahoo.com>Aurelian Tutuianu</a> */ @Deprecated public class SerializationTest { @Test public void testAdaboost() throws Exception { AdaBoostSAMME c = new AdaBoostSAMME() .withRuns(10) .withClassifier(CTree.newC45().withMaxDepth(3)) .withSampler(RowSampler.identity()); Frame df = Datasets.loadSpamBase(); c.train(df, "spam"); File file = File.createTempFile("test", "data"); JavaIO.storeToFile(c, file.getAbsolutePath()); AdaBoostSAMME restored = (AdaBoostSAMME) JavaIO.restoreFromFile(file.getAbsolutePath()); CFit fit = restored.fit(df); new Confusion(df.var("spam"), fit.firstClasses()).printSummary(); } }