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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;

import org.apache.commons.math3.linear.RealMatrix;
import org.apache.commons.math3.linear.DiagonalMatrix;
import org.apache.commons.math3.linear.NonSquareMatrixException;

/**
 * Weight matrix of the residuals between model and observations.
 * 
* Immutable class. * * @deprecated As of 3.1 (to be removed in 4.0). * @since 3.1 */ @Deprecated public class Weight implements OptimizationData { /** Weight matrix. */ private final RealMatrix weightMatrix; /** * Creates a diagonal weight matrix. * * @param weight List of the values of the diagonal. */ public Weight(double[] weight) { weightMatrix = new DiagonalMatrix(weight); } /** * @param weight Weight matrix. * @throws NonSquareMatrixException if the argument is not * a square matrix. */ public Weight(RealMatrix weight) { if (weight.getColumnDimension() != weight.getRowDimension()) { throw new NonSquareMatrixException(weight.getColumnDimension(), weight.getRowDimension()); } weightMatrix = weight.copy(); } /** * Gets the initial guess. * * @return the initial guess. */ public RealMatrix getWeight() { return weightMatrix.copy(); } }




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