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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.fitting.leastsquares;

import org.apache.commons.math3.linear.RealMatrix;
import org.apache.commons.math3.linear.RealVector;

/**
 * A interface for functions that compute a vector of values and can compute their
 * derivatives (Jacobian).
 *
 * @since 3.4
 */
public interface ValueAndJacobianFunction extends MultivariateJacobianFunction {
    /**
     * Compute the value.
     *
     * @param params Point.
     * @return the value at the given point.
     */
    RealVector computeValue(final double[] params);

    /**
     * Compute the Jacobian.
     *
     * @param params Point.
     * @return the Jacobian at the given point.
     */
    RealMatrix computeJacobian(final double[] params);
}




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