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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.
*/
package org.apache.horn.examples;
import org.apache.hadoop.util.ProgramDriver;
import org.apache.horn.utils.MNISTConverter;
import org.apache.horn.utils.MNISTEvaluator;
public class ExampleDriver {
public static void main(String args[]) {
int exitCode = -1;
ProgramDriver pgd = new ProgramDriver();
try {
pgd.addClass(
"MNISTConverter",
MNISTConverter.class,
"A utility program that converts MNIST training and label datasets "
+ "into HDFS sequence file.");
pgd.addClass("MNISTEvaluator", MNISTEvaluator.class,
"A utility program that evaluates trained model for the MNIST dataset");
pgd.addClass(
"MultiLayerPerceptron",
MultiLayerPerceptron.class,
"An example program that trains a multilayer perceptron model from HDFS sequence file.");
exitCode = pgd.run(args);
} catch (Throwable e) {
e.printStackTrace();
}
System.exit(exitCode);
}
}