44 lines
1.6 KiB
Java
44 lines
1.6 KiB
Java
/*
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* ******************************************************************************
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* *
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* *
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* * This program and the accompanying materials are made available under the
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* * terms of the Apache License, Version 2.0 which is available at
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* * https://www.apache.org/licenses/LICENSE-2.0.
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* *
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* * See the NOTICE file distributed with this work for additional
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* * information regarding copyright ownership.
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* * Unless required by applicable law or agreed to in writing, software
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* * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* * License for the specific language governing permissions and limitations
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* * under the License.
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* *
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* * SPDX-License-Identifier: Apache-2.0
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* *****************************************************************************
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*/
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package org.deeplearning4j.util;
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import org.deeplearning4j.BaseDL4JTest;
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import org.junit.jupiter.api.Test;
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import org.nd4j.linalg.api.buffer.DataType;
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import org.nd4j.linalg.api.ndarray.INDArray;
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import org.nd4j.linalg.factory.Nd4j;
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import static org.junit.jupiter.api.Assertions.assertEquals;
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public class TimeSeriesUtilsTest extends BaseDL4JTest {
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@Test
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public void testMovingAverage() {
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INDArray a = Nd4j.arange(0, 20).castTo(DataType.DOUBLE);
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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,
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12.5f, 13.5f, 14.5f, 15.5f, 16.5f, 17.5f});
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INDArray movingAvg = TimeSeriesUtils.movingAverage(a, 4);
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assertEquals(result, movingAvg);
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}
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}
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