/*
* 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.optim.nonlinear.vector;
import org.apache.commons.math3.optim.OptimizationData;
import org.apache.commons.math3.util.Cloner;
/**
* Target of the optimization procedure.
* They are the values which the objective vector function must reproduce
* When the parameters of the model have been optimized.
* <br/>
* Immutable class.
*
* @since 3.1
* @deprecated All classes and interfaces in this package are deprecated.
* The optimizers that were provided here were moved to the
* {@link org.apache.commons.math3.fitting.leastsquares} package
* (cf. MATH-1008).
*/
@Deprecated
public class Target implements OptimizationData {
/** Target values (of the objective vector function). */
private final double[] target;
/**
* @param observations Target values.
*/
public Target(double[] observations) {
target = Cloner.clone(observations);
}
/**
* Gets the initial guess.
*
* @return the initial guess.
*/
public double[] getTarget() {
return Cloner.clone(target);
}
}