/**
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You 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 org.apache.mahout.classifier.df.data;
import java.util.Random;
import org.apache.mahout.common.MahoutTestCase;
import org.apache.mahout.common.RandomUtils;
import org.junit.Test;
public final class DataConverterTest extends MahoutTestCase {
private static final int ATTRIBUTE_COUNT = 10;
private static final int INSTANCE_COUNT = 100;
@Test
public void testConvert() throws Exception {
Random rng = RandomUtils.getRandom();
String descriptor = Utils.randomDescriptor(rng, ATTRIBUTE_COUNT);
double[][] source = Utils.randomDoubles(rng, descriptor, false, INSTANCE_COUNT);
String[] sData = Utils.double2String(source);
Dataset dataset = DataLoader.generateDataset(descriptor, false, sData);
Data data = DataLoader.loadData(dataset, sData);
DataConverter converter = new DataConverter(dataset);
for (int index = 0; index < data.size(); index++) {
assertEquals(data.get(index), converter.convert(sData[index]));
}
// regression
source = Utils.randomDoubles(rng, descriptor, true, INSTANCE_COUNT);
sData = Utils.double2String(source);
dataset = DataLoader.generateDataset(descriptor, true, sData);
data = DataLoader.loadData(dataset, sData);
converter = new DataConverter(dataset);
for (int index = 0; index < data.size(); index++) {
assertEquals(data.get(index), converter.convert(sData[index]));
}
}
}