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Java example source code file (KDTreeTest.java)
The KDTreeTest.java Java example source code/* * * * Copyright 2015 Skymind,Inc. * * * * Licensed 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.deeplearning4j.clustering.kdtree; import org.deeplearning4j.berkeley.Pair; import org.junit.Test; import org.nd4j.linalg.api.ndarray.INDArray; import org.nd4j.linalg.factory.Nd4j; import static org.junit.Assert.assertEquals; /** * Created by agibsonccc on 1/1/15. */ public class KDTreeTest { @Test public void testTree() { KDTree tree = new KDTree(2); INDArray half = Nd4j.create(Nd4j.createBuffer(new double[]{0.5, 0.5})); INDArray one = Nd4j.create(Nd4j.createBuffer(new double[]{1, 1})); tree.insert(half); tree.insert(one); Pair<Double,INDArray> pair = tree.nn(Nd4j.create(Nd4j.createBuffer(new double[]{0.5,0.5}))); assertEquals(half,pair.getSecond()); } } Other Java examples (source code examples)Here is a short list of links related to this Java KDTreeTest.java source code file: |
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