stream.learner.evaluation.ZeroOneLoss Maven / Gradle / Ivy
/*
* streams library
*
* Copyright (C) 2011-2012 by Christian Bockermann, Hendrik Blom
*
* streams is a library, API and runtime environment for processing high
* volume data streams. It is composed of three submodules "stream-api",
* "stream-core" and "stream-runtime".
*
* The streams library (and its submodules) is free software: you can
* redistribute it and/or modify it under the terms of the
* GNU Affero General Public License as published by the Free Software
* Foundation, either version 3 of the License, or (at your option) any
* later version.
*
* The stream.ai library (and its submodules) is distributed in the hope
* that it will be useful, but WITHOUT ANY WARRANTY; without even the implied
* warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see http://www.gnu.org/licenses/.
*/
package stream.learner.evaluation;
import java.io.Serializable;
/**
* @author chris,Hendrik Blom
*
*/
public class ZeroOneLoss implements LossFunction {
/* The loss function used to assess the prediction error */
@Override
public double loss(T x1, T x2) {
if (x1 == x2 || x1.toString().equals(x2.toString())) {
return 0.0d;
} else
return 1.0d;
/*
*
* if( x1 instanceof Double && x2 instanceof Double ){ Double d1 =
* (Double) x1; Double d2 = (Double) x2; return Math.abs(d1 - d2); }
* else {
*
* if( !x1.toString().equals( x2 + "" ) ){ return 1.0d; }
*
* }
*
* if( x1.equals( x2 ) ) return 0.0d;
*
* return 1.0d;
*/
}
}