Examples of classIsMissing()

Examples of weka.core.Instance.classIsMissing()

139
140
141
142
143
144
145
146
147
148
149
        break;
    }
    Enumeration enu = instances.enumerateInstances();
    while (enu.hasMoreElements()) {
      Instance instance = (Instance) enu.nextElement();
      if (!instance.classIsMissing()) {
  if (instances.classAttribute().isNominal()) {
    m_Counts[(int)instance.classValue()] += instance.weight();
  } else {
    m_ClassValue += instance.weight() * instance.classValue();
  }
 
View Full Code Here

Examples of weka.core.Instance.classIsMissing()

265
266
267
268
269
270
271
272
273
274
275
    // Calculate the mean value for each bin of the new class attribute
    m_ClassMeans = new double [numClasses];
    int [] classCounts = new int [numClasses];
    for (int i = 0; i < instances.numInstances(); i++) {
      Instance inst = newTrain.instance(i);
      if (!inst.classIsMissing()) {
  int classVal = (int) inst.classValue();
  classCounts[classVal]++;
  m_ClassMeans[classVal] += instances.instance(i).classValue();
      }
    }
View Full Code Here

Examples of weka.core.Instance.classIsMissing()

282
283
284
285
286
287
288
289
290
291
292
    // Initialize counters
    double[] temp = new double[numClasses + 1];
    for (int k = 0; k < numInstances; k++) {
      Instance inst = data.instance(k);
      if (inst.classIsMissing()) {
        temp[numClasses] += inst.weight();
      } else {
        temp[(int)inst.classValue()] += inst.weight();
      }
    }
View Full Code Here

Examples of weka.core.Instance.classIsMissing()

301
302
303
304
305
306
307
308
309
310
311
    // Get counts
    for (int k = 0; k < numInstances; k++) {
      Instance inst = data.instance(k);
      for (int i = 0; i < inst.numValues(); i++) {
        if (inst.index(i) != classIndex) {
          if (inst.isMissingSparse(i) || inst.classIsMissing()) {
            if (!inst.isMissingSparse(i)) {
              counts[inst.index(i)][(int)inst.valueSparse(i)][numClasses] +=
                inst.weight();
              counts[inst.index(i)][0][numClasses] -= inst.weight();
            } else if (!inst.classIsMissing()) {
View Full Code Here

Examples of weka.core.Instance.classIsMissing()

306
307
308
309
310
311
312
313
314
315
316
          if (inst.isMissingSparse(i) || inst.classIsMissing()) {
            if (!inst.isMissingSparse(i)) {
              counts[inst.index(i)][(int)inst.valueSparse(i)][numClasses] +=
                inst.weight();
              counts[inst.index(i)][0][numClasses] -= inst.weight();
            } else if (!inst.classIsMissing()) {
              counts[inst.index(i)][data.attribute(inst.index(i)).numValues()]
                [(int)inst.classValue()] += inst.weight();
              counts[inst.index(i)][0][(int)inst.classValue()] -=
                inst.weight();
            } else {
View Full Code Here

Examples of weka.core.Instance.classIsMissing()

285
286
287
288
289
290
291
292
293
294
295
    // Initialize counters
    double[] temp = new double[numClasses + 1];
    for (int k = 0; k < numInstances; k++) {
      Instance inst = data.instance(k);
      if (inst.classIsMissing()) {
        temp[numClasses] += inst.weight();
      } else {
        temp[(int)inst.classValue()] += inst.weight();
      }
    }
View Full Code Here

Examples of weka.core.Instance.classIsMissing()

304
305
306
307
308
309
310
311
312
313
314
    // Get counts
    for (int k = 0; k < numInstances; k++) {
      Instance inst = data.instance(k);
      for (int i = 0; i < inst.numValues(); i++) {
        if (inst.index(i) != classIndex) {
          if (inst.isMissingSparse(i) || inst.classIsMissing()) {
            if (!inst.isMissingSparse(i)) {
              counts[inst.index(i)][(int)inst.valueSparse(i)][numClasses] +=
                inst.weight();
              counts[inst.index(i)][0][numClasses] -= inst.weight();
            } else if (!inst.classIsMissing()) {
View Full Code Here

Examples of weka.core.Instance.classIsMissing()

309
310
311
312
313
314
315
316
317
318
319
          if (inst.isMissingSparse(i) || inst.classIsMissing()) {
            if (!inst.isMissingSparse(i)) {
              counts[inst.index(i)][(int)inst.valueSparse(i)][numClasses] +=
                inst.weight();
              counts[inst.index(i)][0][numClasses] -= inst.weight();
            } else if (!inst.classIsMissing()) {
              counts[inst.index(i)][data.attribute(inst.index(i)).numValues()]
                [(int)inst.classValue()] += inst.weight();
              counts[inst.index(i)][0][(int)inst.classValue()] -=
                inst.weight();
            } else {
View Full Code Here

Examples of weka.core.Instance.classIsMissing()

198
199
200
201
202
203
204
205
206
207
208
   
    // Compute counts and sums
    Enumeration enumInsts = instances.enumerateInstances();
    while (enumInsts.hasMoreElements()) {
      Instance instance = (Instance) enumInsts.nextElement();
      if (!instance.classIsMissing()) {
  Enumeration enumAtts = instances.enumerateAttributes();
  attIndex = 0;
  while (enumAtts.hasMoreElements()) {
    Attribute attribute = (Attribute) enumAtts.nextElement();
    if (!instance.isMissing(attribute)) {
View Full Code Here

Examples of weka.core.Instance.classIsMissing()

242
243
244
245
246
247
248
249
250
251
252
    // Compute standard deviations
    enumInsts = instances.enumerateInstances();
    while (enumInsts.hasMoreElements()) {
      Instance instance =
  (Instance) enumInsts.nextElement();
      if (!instance.classIsMissing()) {
  enumAtts = instances.enumerateAttributes();
  attIndex = 0;
  while (enumAtts.hasMoreElements()) {
    Attribute attribute = (Attribute) enumAtts.nextElement();
    if (!instance.isMissing(attribute)) {
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.