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* 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
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*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
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package org.apache.nemo.examples.beam;
import org.apache.nemo.client.JobLauncher;
import org.apache.nemo.common.test.ArgBuilder;
import org.apache.nemo.common.test.ExampleTestArgs;
import org.apache.nemo.examples.beam.policy.DefaultPolicyParallelismFive;
import org.junit.Before;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.powermock.core.classloader.annotations.PrepareForTest;
import org.powermock.modules.junit4.PowerMockRunner;
/**
* Testing Multinomial Logistic Regressions with JobLauncher.
*/
@RunWith(PowerMockRunner.class)
@PrepareForTest(JobLauncher.class)
public final class MultinomialLogisticRegressionITCase {
private static ArgBuilder builder = new ArgBuilder();
private static final String executorResourceFileName = ExampleTestArgs.getFileBasePath() + "executors/beam_test_executor_resources.json";
@Before
public void setUp() throws Exception {
builder = new ArgBuilder();
}
@Test(timeout = ExampleTestArgs.TIMEOUT, expected = Test.None.class)
public void test() throws Exception {
final String input = ExampleTestArgs.getFileBasePath() + "inputs/test_input_mlr";
final String numFeatures = "100";
final String numClasses = "5";
final String numIteration = "3";
JobLauncher.main(builder
.addJobId(MultinomialLogisticRegressionITCase.class.getSimpleName())
.addUserMain(MultinomialLogisticRegression.class.getCanonicalName())
.addUserArgs(input, numFeatures, numClasses, numIteration)
.addOptimizationPolicy(DefaultPolicyParallelismFive.class.getCanonicalName())
.addResourceJson(executorResourceFileName)
.build());
}
}