/*
* 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.var;
import rapaio.core.stat.GeometricMean;
import rapaio.data.Var;
/**
* Filter to create monotonic power transformations
* Created by <a href="mailto:padreati@yahoo.com">Aurelian Tutuianu</a> at 12/11/14.
*/
public class VFTransformPower extends AbstractVF {
private static final long serialVersionUID = -4496756339460112649L;
private final double lambda;
private double gm = 0.0;
public VFTransformPower(double lambda) {
this.lambda = lambda;
}
@Override
public void fit(Var... vars) {
checkSingleVar(vars);
GeometricMean mygm = GeometricMean.from(vars[0]);
if (mygm.isDefined()) {
gm = mygm.value();
} else {
throw new IllegalArgumentException("The transformed variable " + vars[0].name() + "contains negative values, geometric mean cannot be computed");
}
}
@Override
public Var apply(Var... vars) {
checkSingleVar(vars);
return vars[0].stream().transValue(x ->
(lambda == 0) ?
gm * Math.log(x) :
(Math.pow(x, lambda) - 1.0) / (lambda * Math.pow(gm, lambda - 1))
).toMappedVar();
}
}