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[SYSTEMDS-3831] New builtin for vectorized simple exponential smoothing
This patch introduces a new vectorized builtin function for vectorized simple exponential smoothing which largely relies on cumsumprod.
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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. | ||
# | ||
#------------------------------------------------------------- | ||
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# Builtin function for simple exponential smoothing (SES). | ||
# | ||
# INPUT: | ||
# ------------------------------------------------------------------------------ | ||
# x Time series vector [shape: n-by-1] | ||
# h Forecasting horizon | ||
# alpha Smoothing parameter yhat_t = alpha * x_y + (1-alpha) * yhat_t-1 | ||
# ------------------------------------------------------------------------------ | ||
# | ||
# OUTPUT: | ||
# ------------------------------------------------------------------------------ | ||
# yhat Forecasts [shape: h-by-1] | ||
# ------------------------------------------------------------------------------ | ||
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m_ses = function(Matrix[Double] x, Integer h = 1, Double alpha = 0.5) | ||
return (Matrix[Double] yhat) | ||
{ | ||
# check and ensure valid parameters | ||
if(h < 1) { | ||
print("SES: forecasting horizon should be larger one."); | ||
h = 1; | ||
} | ||
if(alpha < 0 | alpha > 1) { | ||
print("SES: smooting parameter should be in [0,1]."); | ||
alpha = 0.5; | ||
} | ||
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# vectorized forecasting | ||
# weights are 1 for first value and otherwise replicated alpha | ||
# but to compensate alpha*x for the first, we use 1/alpha | ||
w = rbind(as.matrix(1/alpha), matrix(1-alpha,nrow(x)-1,1)); | ||
y = cumsumprod(cbind(alpha*x, w)); | ||
yhat = matrix(as.scalar(y[nrow(x),1]), h, 1); | ||
} |
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68 changes: 68 additions & 0 deletions
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src/test/java/org/apache/sysds/test/functions/builtin/part2/BuiltinSESTest.java
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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. | ||
*/ | ||
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package org.apache.sysds.test.functions.builtin.part2; | ||
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import org.apache.sysds.runtime.matrix.data.MatrixValue.CellIndex; | ||
import org.apache.sysds.test.AutomatedTestBase; | ||
import org.apache.sysds.test.TestConfiguration; | ||
import org.junit.Assert; | ||
import org.junit.Test; | ||
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import java.util.HashMap; | ||
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public class BuiltinSESTest extends AutomatedTestBase { | ||
private final static String TEST_NAME = "ses"; | ||
private final static String TEST_DIR = "functions/builtin/"; | ||
private final static String TEST_CLASS_DIR = TEST_DIR + BuiltinSESTest.class.getSimpleName() + "/"; | ||
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private final static int rows = 200; | ||
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@Override | ||
public void setUp() { | ||
addTestConfiguration(TEST_NAME, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME, new String[]{"y"})); | ||
} | ||
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@Test | ||
public void testSES05() { | ||
runSESTest(0.5, 199d); | ||
} | ||
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@Test | ||
public void testSES077() { | ||
runSESTest(0.77, 199.7013); | ||
} | ||
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@Test | ||
public void testSES10() { | ||
runSESTest(1.0, 200d); | ||
} | ||
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private void runSESTest(double alpha, double expected) { | ||
loadTestConfiguration(getTestConfiguration(TEST_NAME)); | ||
String HOME = SCRIPT_DIR + TEST_DIR; | ||
fullDMLScriptName = HOME + TEST_NAME + ".dml"; | ||
programArgs = new String[] {"-args", | ||
String.valueOf(rows), String.valueOf(alpha), output("y")}; | ||
runTest(true, EXCEPTION_NOT_EXPECTED, null, -1); | ||
HashMap<CellIndex, Double> dmlfile = readDMLMatrixFromOutputDir("y"); | ||
Assert.assertEquals(7, dmlfile.size()); //forecast horizon 7 | ||
Assert.assertEquals(expected, dmlfile.get(new CellIndex(1,1)), 1e-3); | ||
} | ||
} |
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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. | ||
# | ||
#------------------------------------------------------------- | ||
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x = seq(1, $1); | ||
yhat = ses(x=x, alpha=$2, h=7) | ||
write(yhat, $3) | ||
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