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Diffstat (limited to 'src/main/java/org/apache/commons/math3/optim/nonlinear/vector/Target.java')
-rw-r--r-- | src/main/java/org/apache/commons/math3/optim/nonlinear/vector/Target.java | 54 |
1 files changed, 54 insertions, 0 deletions
diff --git a/src/main/java/org/apache/commons/math3/optim/nonlinear/vector/Target.java b/src/main/java/org/apache/commons/math3/optim/nonlinear/vector/Target.java new file mode 100644 index 0000000..cd387d5 --- /dev/null +++ b/src/main/java/org/apache/commons/math3/optim/nonlinear/vector/Target.java @@ -0,0 +1,54 @@ +/* + * 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; + +/** + * 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 = observations.clone(); + } + + /** + * Gets the initial guess. + * + * @return the initial guess. + */ + public double[] getTarget() { + return target.clone(); + } +} |