/*
* 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.data.filter.frame;
import junit.framework.Assert;
import org.junit.Test;
import rapaio.data.*;
import rapaio.data.filter.FFilter;
/**
* Created by <a href="mailto:padreati@yahoo.com">Aurelian Tutuianu</a> on 2/10/16.
*/
public class FFJitterTest {
@Test
public void testSmoke() {
Frame a = SolidFrame.byVars(
Numeric.fill(100, 0).withName("num1"),
Numeric.fill(100, 0).withName("num2"),
Binary.fill(100, true).withName("bin"),
Nominal.from(100, r -> String.valueOf(r % 10)).withName("nom")
);
Frame df1 = new FFJitter(VRange.onlyTypes(VarType.NUMERIC)).fitApply(a.solidCopy());
Assert.assertTrue(a.removeVars("0~1").deepEquals(df1.removeVars("0~1")));
Assert.assertFalse(a.mapVars("0~1").deepEquals(df1.mapVars("0~1")));
FFilter filter = new FFJitter(VRange.onlyTypes(VarType.NUMERIC)).newInstance();
filter.train(a.removeVars("num1"));
Frame df2 = filter.apply(a.solidCopy());
Assert.assertTrue(a.removeVars("num2").deepEquals(df2.removeVars("num2")));
Assert.assertFalse(a.mapVars("num2").deepEquals(df2.mapVars("num2")));
}
}