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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 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; } }





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