/*
* 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();
}
}