/*
* 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.ml.common.distance;
import rapaio.data.Frame;
import rapaio.util.Tag;
import java.io.Serializable;
/**
* Distance interface
* <p>
* Created by <a href="mailto:padreati@yahoo.com">Aurelian Tutuianu</a> on 9/23/15.
*/
public interface Distance extends Serializable {
double distance(Frame s, int sRow, Frame t, int tRow, String... varNames);
Tag<Distance> EUCLIDEAN = Tag.valueOf("euclidean",
(Frame s, int sRow, Frame t, int tRow, String... varNames) -> {
double total = 0;
for (String varName : varNames) {
if (s.missing(sRow) || t.missing(tRow))
continue;
total += Math.pow(s.value(sRow, varName) - t.value(tRow, varName), 2);
}
return Math.sqrt(total);
});
}