/* * 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"))); } }