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authorKarl Shaffer <karlshaffer@google.com>2023-08-10 23:18:51 +0000
committerAutomerger Merge Worker <android-build-automerger-merge-worker@system.gserviceaccount.com>2023-08-10 23:18:51 +0000
commit029d049e490dcd5fa609bb7632b0262d95f1bcce (patch)
treeace24ba4307d4978ee3134f7da671a77ad172da0 /src/main/java/org/apache/commons/math3/optimization/Target.java
parent4367a1c12f893ea7fb55036619f46d0e7b0634f3 (diff)
parent5484895ffd3d0c8337d159667cafc127c459f677 (diff)
downloadapache-commons-math-029d049e490dcd5fa609bb7632b0262d95f1bcce.tar.gz
Check-in commons-math 3.6.1 am: 1354beaf45 am: 0018f64b87 am: b3715644fb am: 5484895ffd
Original change: https://android-review.googlesource.com/c/platform/external/apache-commons-math/+/2702413 Change-Id: Idb04c8014ec76e9930d6d0aa22dac3b0b54333c8 Signed-off-by: Automerger Merge Worker <android-build-automerger-merge-worker@system.gserviceaccount.com>
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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;
+
+/**
+ * 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.
+ *
+ * @deprecated As of 3.1 (to be removed in 4.0).
+ * @since 3.1
+ */
+@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();
+ }
+}