jsat.distributions.SingleValueDistribution.java Source code

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Here is the source code for jsat.distributions.SingleValueDistribution.java

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/**
 * This file is part of SADL, a library for learning all sorts of (timed) automata and performing sequence-based anomaly detection.
 * Copyright (C) 2013-2016  the original author or authors.
 *
 * SADL is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
 *
 * SADL 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 General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License along with SADL.  If not, see <http://www.gnu.org/licenses/>.
 */
package jsat.distributions;

import java.util.logging.Level;
import java.util.logging.Logger;

import org.apache.commons.math3.util.Precision;

import jsat.linear.Vec;
import jsat.utils.Pair;

/**
 * 
 * @author Timo Klerx
 *
 */
public class SingleValueDistribution extends ContinuousDistribution {

    private static final long serialVersionUID = -2496629406230963851L;
    private double value;

    public SingleValueDistribution(double value) {
        this.value = value;
    }

    @Override
    public double pdf(double x) {
        if (Precision.equals(x, value)) {
            return 1;
        } else {
            return 0;
        }
    }

    @Override
    public double cdf(double x) {
        if (x >= value) {
            return 1;
        } else {
            return 0;
        }
    }

    @Override
    public double invCdf(double p) {
        return value;
    }

    @Override
    public double min() {
        return value;
    }

    @Override
    public double max() {
        return value;
    }

    @Override
    public String getDescriptiveName() {
        return getDistributionName() + "(value=" + value + ")";
    }

    @Override
    public String getDistributionName() {
        return "SingleValueDistribution";
    }

    @Override
    public String[] getVariables() {
        return new String[] { "value" };

    }

    @Override
    public double[] getCurrentVariableValues() {
        return new double[] { value };

    }

    @Override
    public void setVariable(String var, double value) {
        if (var.equals("value")) {
            this.value = value;
        }
    }

    @Override
    public ContinuousDistribution clone() {
        return new SingleValueDistribution(this.value);
    }

    @Override
    public void setUsingData(Vec data) {
        final Pair<Boolean, Double> sameValues = MyDistributionSearch.checkForDifferentValues(data);
        if (sameValues.getFirstItem()) {
            value = sameValues.getSecondItem();
        } else {
            Logger.getLogger(SingleValueDistribution.class.getName()).log(Level.WARNING,
                    "Trying to use a SingleValueDistribution with data that contains more than one value.");
        }
    }

    @Override
    public double mean() {
        return value;
    }

    @Override
    public double mode() {
        return value;
    }

    @Override
    public int hashCode() {
        final int prime = 31;
        int result = 1;
        long temp;
        temp = Double.doubleToLongBits(value);
        result = prime * result + (int) (temp ^ (temp >>> 32));
        return result;
    }

    @Override
    public boolean equals(Object obj) {
        if (this == obj) {
            return true;
        }
        if (obj == null) {
            return false;
        }
        if (!(obj instanceof SingleValueDistribution)) {
            return false;
        }
        final SingleValueDistribution other = (SingleValueDistribution) obj;
        if (Double.doubleToLongBits(value) != Double.doubleToLongBits(other.value)) {
            return false;
        }
        return true;
    }

    @Override
    public double variance() {
        return 0;
    }

    @Override
    public double skewness() {
        return Double.NaN;
    }

}