Package cc.mallet.types

Examples of cc.mallet.types.LabelAlphabet.lookupObject()

200
201
202
203
204
205
206
207
208
209
210
    int numFeatures = dict.size() + 1;
    int numLabels = labelDict.size();
   
    // Include the feature weights according to each label
    //for (int li = 0; li < numLabels; li++) {
    System.out.println ("FEATURES FOR CLASS "+labelDict.lookupObject (0));
    System.out.println (" <default> "+parameters [defaultFeatureIndex]);
    for (int i = 0; i < defaultFeatureIndex; i++) {
      Object name = dict.lookupObject (i);
      double weight = parameters [i];
      System.out.println (" "+name+" "+weight);
View Full Code Here
165
166
167
168
169
170
171
172
173
174
175
    int numFeatures = dict.size() + 1;
    int numLabels = labelDict.size();
   
     // Include the feature weights according to each label
     for (int li = 0; li < numLabels; li++) {
       System.out.println ("FEATURES FOR CLASS "+labelDict.lookupObject (li));
       System.out.println (" <default> "+parameters [li*numFeatures + defaultFeatureIndex]);
       for (int i = 0; i < defaultFeatureIndex; i++) {
         Object name = dict.lookupObject (i);
              double weight = parameters [li*numFeatures + i];
         System.out.println (" "+name+" "+weight);
View Full Code Here
211
212
213
214
215
216
217
218
219
220
221
    int numFeatures = dict.size() + 1;
    int numLabels = labelDict.size();

    // Include the feature weights according to each label
    for (int li = 0; li < numLabels; li++) {
      out.println ("FEATURES FOR CLASS "+labelDict.lookupObject (li));
      out.println (" <default> "+parameters [li*numFeatures + defaultFeatureIndex]);
      for (int i = 0; i < defaultFeatureIndex; i++) {
        Object name = dict.lookupObject (i);
        double weight = parameters [li*numFeatures + i];
        out.println (" "+name+" "+weight);
View Full Code Here
237
238
239
240
241
242
243
244
245
246
247
    int numLabels = labelDict.size();
  // Include the feature weights according to each label
    RankedFeatureVector rfv;
    double[] weights = new double[numFeatures-1]; // do not deal with the default feature
    for (int li = 0; li < numLabels; li++) {
      out.print ("FEATURES FOR CLASS "+labelDict.lookupObject (li) + " ");
      for (int i = 0; i < defaultFeatureIndex; i++) {
        double weight = parameters [li*numFeatures + i];
        weights[i] = weight;
      }
      rfv = new RankedFeatureVector(dict,weights);
View Full Code Here
260
261
262
263
264
265
266
267
268
269
270
    // Include the feature weights according to each label
    RankedFeatureVector rfv;
    double[] weights = new double[numFeatures-1]; // do not deal with the default feature
    for (int li = 0; li < numLabels; li++) {
      out.print ("FEATURES FOR CLASS "+labelDict.lookupObject (li) + " ");
      for (int i = 0; i < defaultFeatureIndex; i++) {
        Object name = dict.lookupObject (i);
        double weight = parameters [li*numFeatures + i];
        weights[i] = weight;
      }
View Full Code Here
211
212
213
214
215
216
217
218
219
220
221
    int numFeatures = dict.size() + 1;
    int numLabels = labelDict.size();

    // Include the feature weights according to each label
    for (int li = 0; li < numLabels; li++) {
      out.println ("FEATURES FOR CLASS "+labelDict.lookupObject (li));
      out.println (" <default> "+parameters [li*numFeatures + defaultFeatureIndex]);
      for (int i = 0; i < defaultFeatureIndex; i++) {
        Object name = dict.lookupObject (i);
        double weight = parameters [li*numFeatures + i];
        out.println (" "+name+" "+weight);
View Full Code Here
233
234
235
236
237
238
239
240
241
242
243
    int numLabels = labelDict.size();
  // Include the feature weights according to each label
    RankedFeatureVector rfv;
    double[] weights = new double[numFeatures-1]; // do not deal with the default feature
    for (int li = 0; li < numLabels; li++) {
      out.print ("FEATURES FOR CLASS "+labelDict.lookupObject (li) + " ");
      for (int i = 0; i < defaultFeatureIndex; i++) {
        double weight = parameters [li*numFeatures + i];
        weights[i] = weight;
      }
      rfv = new RankedFeatureVector(dict,weights);
View Full Code Here
256
257
258
259
260
261
262
263
264
265
266
    // Include the feature weights according to each label
    RankedFeatureVector rfv;
    double[] weights = new double[numFeatures-1]; // do not deal with the default feature
    for (int li = 0; li < numLabels; li++) {
      out.print ("FEATURES FOR CLASS "+labelDict.lookupObject (li) + " ");
      for (int i = 0; i < defaultFeatureIndex; i++) {
        Object name = dict.lookupObject (i);
        double weight = parameters [li*numFeatures + i];
        weights[i] = weight;
      }
View Full Code Here
216
217
218
219
220
221
222
223
224
225
226
    int numFeatures = dict.size() + 1;
    int numLabels = labelDict.size();

    // Include the feature weights according to each label
    for (int li = 0; li < numLabels; li++) {
      out.println ("FEATURES FOR CLASS "+labelDict.lookupObject (li));
      out.println (" <default> "+parameters [li*numFeatures + defaultFeatureIndex]);
      for (int i = 0; i < defaultFeatureIndex; i++) {
        Object name = dict.lookupObject (i);
        double weight = parameters [li*numFeatures + i];
        out.println (" "+name+" "+weight);
View Full Code Here
238
239
240
241
242
243
244
245
246
247
248
    int numLabels = labelDict.size();
  // Include the feature weights according to each label
    RankedFeatureVector rfv;
    double[] weights = new double[numFeatures-1]; // do not deal with the default feature
    for (int li = 0; li < numLabels; li++) {
      out.print ("FEATURES FOR CLASS "+labelDict.lookupObject (li) + " ");
      for (int i = 0; i < defaultFeatureIndex; i++) {
        double weight = parameters [li*numFeatures + i];
        weights[i] = weight;
      }
      rfv = new RankedFeatureVector(dict,weights);
View Full Code Here
TOP
Copyright © 2018 www.massapi.com. All rights reserved.
All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.