/*- * * * 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.util; 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 12/29/14. */ public class TimeSeriesUtilsTest { @Test public void testMovingAverage() { INDArray a = Nd4j.arange(0, 20); INDArray result = Nd4j.create(new double[] {1.5f, 2.5f, 3.5f, 4.5f, 5.5f, 6.5f, 7.5f, 8.5f, 9.5f, 10.5f, 11.5f, 12.5f, 13.5f, 14.5f, 15.5f, 16.5f, 17.5f}); INDArray movingAvg = TimeSeriesUtils.movingAverage(a, 4); assertEquals(result, movingAvg); } }