opennlp.tools.ml.maxent.io.GISModelWriter Maven / Gradle / Ivy
/*
* 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 opennlp.tools.ml.maxent.io;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.Map;
import opennlp.tools.ml.model.AbstractModel;
import opennlp.tools.ml.model.AbstractModelWriter;
import opennlp.tools.ml.model.ComparablePredicate;
import opennlp.tools.ml.model.Context;
/**
* Abstract parent class for GISModel writers. It provides the persist method
* which takes care of the structure of a stored document, and requires an
* extending class to define precisely how the data should be stored.
*/
public abstract class GISModelWriter extends AbstractModelWriter {
protected Context[] PARAMS;
protected String[] OUTCOME_LABELS;
protected String[] PRED_LABELS;
public GISModelWriter(AbstractModel model) {
Object[] data = model.getDataStructures();
@SuppressWarnings("unchecked")
Map pmap = (Map) data[1];
OUTCOME_LABELS = (String[]) data[2];
PARAMS = new Context[pmap.size()];
PRED_LABELS = new String[pmap.size()];
int i = 0;
for (Map.Entry pred : pmap.entrySet()) {
PRED_LABELS[i] = pred.getKey();
PARAMS[i] = pred.getValue();
i++;
}
}
/**
* Writes the model to disk, using the writeX()
methods provided
* by extending classes.
*
*
* If you wish to create a GISModelWriter which uses a different structure, it
* will be necessary to override the persist method in addition to
* implementing the writeX()
methods.
*/
public void persist() throws IOException {
// the type of model (GIS)
writeUTF("GIS");
// the value of the correction constant (not used anymore)
writeInt(1);
// the value of the correction params (not used anymore)
writeDouble(1);
// the mapping from outcomes to their integer indexes
writeInt(OUTCOME_LABELS.length);
for (String OUTCOME_LABEL : OUTCOME_LABELS) {
writeUTF(OUTCOME_LABEL);
}
// the mapping from predicates to the outcomes they contributed to.
// The sorting is done so that we actually can write this out more
// compactly than as the entire list.
ComparablePredicate[] sorted = sortValues();
List> compressed = compressOutcomes(sorted);
writeInt(compressed.size());
for (List aCompressed : compressed) {
writeUTF(aCompressed.size() + ((List>) aCompressed).get(0).toString());
}
// the mapping from predicate names to their integer indexes
writeInt(PARAMS.length);
for (ComparablePredicate aSorted : sorted) {
writeUTF(aSorted.name);
}
// write out the parameters
for (ComparablePredicate aSorted : sorted) {
for (int j = 0; j < aSorted.params.length; j++) {
writeDouble(aSorted.params[j]);
}
}
close();
}
protected ComparablePredicate[] sortValues() {
ComparablePredicate[] sortPreds = new ComparablePredicate[PARAMS.length];
int numParams = 0;
for (int pid = 0; pid < PARAMS.length; pid++) {
int[] predkeys = PARAMS[pid].getOutcomes();
// Arrays.sort(predkeys);
int numActive = predkeys.length;
double[] activeParams = PARAMS[pid].getParameters();
numParams += numActive;
/*
* double[] activeParams = new double[numActive];
*
* int id = 0; for (int i=0; i < predkeys.length; i++) { int oid =
* predkeys[i]; activeOutcomes[id] = oid; activeParams[id] =
* PARAMS[pid].getParams(oid); id++; }
*/
sortPreds[pid] = new ComparablePredicate(PRED_LABELS[pid],
predkeys, activeParams);
}
Arrays.sort(sortPreds);
return sortPreds;
}
protected List> compressOutcomes(ComparablePredicate[] sorted) {
List> outcomePatterns = new ArrayList<>();
if (sorted.length > 0) {
ComparablePredicate cp = sorted[0];
List newGroup = new ArrayList<>();
for (int i = 0; i < sorted.length; i++) {
if (cp.compareTo(sorted[i]) == 0) {
newGroup.add(sorted[i]);
} else {
cp = sorted[i];
outcomePatterns.add(newGroup);
newGroup = new ArrayList<>();
newGroup.add(sorted[i]);
}
}
outcomePatterns.add(newGroup);
}
return outcomePatterns;
}
}