/**
* 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.mahout.ga.watchmaker.cd.hadoop;
import java.io.IOException;
import java.util.List;
import com.google.common.base.Preconditions;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.mahout.common.StringUtils;
import org.apache.mahout.ga.watchmaker.cd.CDFitness;
import org.apache.mahout.ga.watchmaker.cd.DataLine;
import org.apache.mahout.ga.watchmaker.cd.DataSet;
import org.apache.mahout.ga.watchmaker.cd.Rule;
/**
* Hadoop Mapper. Evaluate all the rules with the input data line.
*/
public class CDMapper extends Mapper<LongWritable, Text, LongWritable, CDFitness> {
public static final String CLASSDISCOVERY_RULES = "mahout.ga.classdiscovery.rules";
public static final String CLASSDISCOVERY_DATASET = "mahout.ga.classdiscovery.dataset";
public static final String CLASSDISCOVERY_TARGET_LABEL = "mahout.ga.classdiscovery.target";
private List<Rule> rules;
private int target;
List<Rule> getRules() {
return rules;
}
int getTarget() {
return target;
}
@Override
protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
DataLine dl = new DataLine(value.toString());
for (int index = 0; index < rules.size(); index++) {
CDFitness eval = evaluate(target, rules.get(index).classify(dl), dl.getLabel());
context.write(new LongWritable(index), eval);
}
}
@Override
protected void setup(Context context) throws IOException, InterruptedException {
super.setup(context);
Configuration conf = context.getConfiguration();
String rstr = conf.get(CLASSDISCOVERY_RULES);
Preconditions.checkArgument(rstr != null, "Job parameter %s not found", CLASSDISCOVERY_RULES);
String datastr = conf.get(CLASSDISCOVERY_DATASET);
Preconditions.checkArgument(datastr != null, "Job parameter %s not found", CLASSDISCOVERY_DATASET);
int target = conf.getInt(CLASSDISCOVERY_TARGET_LABEL, -1);
Preconditions.checkArgument(target != -1, "Job parameter %s not found", CLASSDISCOVERY_TARGET_LABEL);
initializeDataSet(StringUtils.<DataSet> fromString(datastr));
configure(StringUtils.<List<Rule>> fromString(rstr), target);
}
static void initializeDataSet(DataSet dataset) {
if (dataset == null) {
throw new IllegalArgumentException("bad 'dataset' configuration parameter");
}
DataSet.initialize(dataset);
}
void configure(List<Rule> rules, int target) {
Preconditions.checkArgument(rules != null && !rules.isEmpty(), "Bad rules", rules);
Preconditions.checkArgument(target >= 0, "Bad target", target);
this.rules = rules;
this.target = target;
}
/**
* Evaluate a given prediction.
*
* @param target
* expected label
* @param prediction
* @param label
* actual label
*/
public static CDFitness evaluate(int target, int prediction, int label) {
boolean labelIsTarget = label == target;
int tp = labelIsTarget && prediction == 1 ? 1 : 0;
int fp = !labelIsTarget && prediction == 1 ? 1 : 0;
int tn = !labelIsTarget && prediction == 0 ? 1 : 0;
int fn = labelIsTarget && prediction == 0 ? 1 : 0;
return new CDFitness(tp, fp, tn, fn);
}
}