blob: 53f64f1f9bf869b0006afc759b5e2cc4778a2911 [file] [log] [blame]
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You 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 org.apache.ignite.ml.math.distances;
import java.util.Arrays;
import com.fasterxml.jackson.annotation.JsonCreator;
import com.fasterxml.jackson.annotation.JsonIgnore;
import com.fasterxml.jackson.annotation.JsonProperty;
import org.apache.ignite.ml.math.exceptions.math.CardinalityException;
import org.apache.ignite.ml.math.primitives.vector.Vector;
import org.apache.ignite.ml.math.primitives.vector.VectorUtils;
import org.apache.ignite.ml.math.util.MatrixUtil;
/**
* Calculates the Weighted Minkowski distance between two points.
*/
public class WeightedMinkowskiDistance implements DistanceMeasure {
/**
* Serializable version identifier.
*/
private static final long serialVersionUID = 1771556549784040096L;
/** */
private int p = 1;
/** */
private final double[] weights;
/** */
@JsonIgnore
private final Vector internalWeights;
/** */
@JsonCreator
public WeightedMinkowskiDistance(@JsonProperty("p")int p, @JsonProperty("weights")double[] weights) {
this.p = p;
this.weights = weights.clone();
internalWeights = VectorUtils.of(weights).copy().map(x -> Math.pow(Math.abs(x), p));
}
/**
* {@inheritDoc}
*/
@Override public double compute(Vector a, Vector b)
throws CardinalityException {
return Math.pow(
MatrixUtil.localCopyOf(a).minus(b)
.map(x -> Math.pow(Math.abs(x), p))
.times(internalWeights)
.sum(),
1 / (double) p
);
}
/** Returns p-norm. */
public int getP() {
return p;
}
/** Returns weights. */
public double[] getWeights() { return weights.clone(); }
/**
* {@inheritDoc}
*/
@Override public boolean equals(Object obj) {
if (this == obj) {
return true;
}
return obj != null && getClass() == obj.getClass();
}
/**
* {@inheritDoc}
*/
@Override public int hashCode() {
return getClass().hashCode();
}
/** {@inheritDoc} */
@Override public String toString() {
return "WeightedMinkowskiDistance{" +
"p=" + p +
", weights=" + Arrays.toString(weights) +
'}';
}
}