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A Java's Collaborative Filtering library to carry out experiments in research of Collaborative Filtering based Recommender Systems. The library has been designed from researchers to researchers.

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/*
 * 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.commons.math3.optimization.fitting;

import java.io.Serializable;

/** This class is a simple container for weighted observed point in
 * {@link CurveFitter curve fitting}.
 * Instances of this class are guaranteed to be immutable.
 * @deprecated As of 3.1 (to be removed in 4.0).
 * @since 2.0
 */
@Deprecated
public class WeightedObservedPoint implements Serializable {

    /** Serializable version id. */
    private static final long serialVersionUID = 5306874947404636157L;

    /** Weight of the measurement in the fitting process. */
    private final double weight;

    /** Abscissa of the point. */
    private final double x;

    /** Observed value of the function at x. */
    private final double y;

    /** Simple constructor.
     * @param weight weight of the measurement in the fitting process
     * @param x abscissa of the measurement
     * @param y ordinate of the measurement
     */
    public WeightedObservedPoint(final double weight, final double x, final double y) {
        this.weight = weight;
        this.x      = x;
        this.y      = y;
    }

    /** Get the weight of the measurement in the fitting process.
     * @return weight of the measurement in the fitting process
     */
    public double getWeight() {
        return weight;
    }

    /** Get the abscissa of the point.
     * @return abscissa of the point
     */
    public double getX() {
        return x;
    }

    /** Get the observed value of the function at x.
     * @return observed value of the function at x
     */
    public double getY() {
        return y;
    }

}