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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.bsp;
import java.io.IOException;
import org.apache.hama.HamaConfiguration;
import org.apache.hama.bsp.BSPJob;
import org.apache.hama.commons.math.Function;
import org.apache.horn.trainer.Neuron;
import org.apache.horn.trainer.Trainer;
public class HornJob extends BSPJob {
public HornJob(HamaConfiguration conf, Class<?> exampleClass)
throws IOException {
super(conf);
this.setBspClass(Trainer.class);
this.setJarByClass(exampleClass);
}
public void setDouble(String name, double value) {
conf.setDouble(name, value);
}
@SuppressWarnings("rawtypes")
public void addLayer(int i, Class<? extends Neuron> class1,
Class<? extends Function> class2) {
// TODO Auto-generated method stub
}
public void setCostFunction(Class<? extends Function> class1) {
// TODO Auto-generated method stub
}
public void setMaxIteration(int n) {
this.conf.setInt("horn.max.iteration", n);
}
}