/*
* Copyright [2012-2014] PayPal Software Foundation
*
* Licensed 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 ml.shifu.shifu.udf;
import java.io.IOException;
import java.util.Random;
import org.apache.pig.data.BagFactory;
import org.apache.pig.data.DataBag;
import org.apache.pig.data.Tuple;
import org.apache.pig.data.TupleFactory;
import org.apache.pig.impl.logicalLayer.schema.Schema;
/**
* BaggingSubsampleUDF class
*/
public class BaggingSubsampleUDF extends AbstractTrainerUDF<DataBag> {
private Random rand = new Random(System.currentTimeMillis());
public BaggingSubsampleUDF(String source, String pathModelConfig, String pathColumnConfig) throws Exception {
super(source, pathModelConfig, pathColumnConfig);
log.debug("Bagging Options - Number of Models: " + modelConfig.getBaggingNum());
log.debug("Bagging Options - Subsample Rate: " + modelConfig.getBaggingSampleRate());
}
public DataBag exec(Tuple input) throws IOException {
int numBags = modelConfig.getBaggingNum();
double rate = modelConfig.getBaggingSampleRate();
DataBag bag = BagFactory.getInstance().newDefaultBag();
for(int i = 0; i < numBags; i++) {
double r = rand.nextDouble();
if(r <= rate) {
Tuple t = TupleFactory.getInstance().newTuple();
t.append(i);
t.append(input);
bag.add(t);
}
}
return bag;
}
public Schema outputSchema(Schema input) {
return null;
}
}