| /dports/mail/spamassassin-devel/spamassassin-1ea352210/masses/ |
| H A D | garescorer.c | 1110 for(i=num_scores; i<num_scores*2; i++) in CreateString()
1160 child1[i+num_scores] = child2[i+num_scores] = in Crossover()
1167 child1[i+num_scores] = parent1[i+num_scores]; in Crossover()
1168 child2[i+num_scores] = parent2[i+num_scores]; in Crossover()
1172 fabs(parent1[i+num_scores] - parent2[i+num_scores])) in Crossover()
1174 (parent1[i+num_scores] + parent2[i+num_scores])/2; in Crossover()
1179 fabs(parent2[i+num_scores] - parent1[i+num_scores])) in Crossover()
1181 (parent2[i+num_scores] + parent1[i+num_scores])/2; in Crossover()
1188 child1[i+num_scores] = child2[i+num_scores] = in Crossover()
1197 child1[i+num_scores] = parent1[i+num_scores]; in Crossover()
[all …]
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| H A D | perceptron.c | 162 weights = (double*)calloc(num_scores, sizeof(double)); in init_weights()
165 for (i = 0; i < num_scores; i++) { in init_weights()
233 for (i = 0; i < num_scores; i++) { in write_weights()
251 for (i = 0; i < num_scores; i++) { in scale_scores()
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| H A D | logs-to-c | 593 printf ("Read scores for %d tests.\n", num_scores);
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| /dports/math/vowpal_wabbit/vowpal_wabbit-7.10/explore/clr/ |
| H A D | explore_interop.h | 141 u32 num_scores = 0; in Score_Actions() local
142 m_func(context.Get_Clr_Explorer(), context.Get_Clr_Context(), &scores, &num_scores); in Score_Actions()
145 vector<float> scores_vector(scores, scores + num_scores); in Score_Actions()
305 u32* num_scores = (u32*)sizePtr.ToPointer(); in InteropInvoke() local
306 *num_scores = (u32)scoreList->Count; in InteropInvoke()
308 float* scores = new float[*num_scores]; in InteropInvoke()
309 for (u32 i = 0; i < *num_scores; i++) in InteropInvoke()
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| /dports/benchmarks/nbench/nbench-byte-2.2.3/ |
| H A D | nbench0.c | 905 int num_scores, /* number of scores in array */ in calc_confidence() argument
920 if ((num_scores<2) || (num_scores>30)) { in calc_confidence()
928 for(i=0;i<num_scores;i++){ in calc_confidence()
931 *smean/=(double)num_scores; in calc_confidence()
935 for(i=0;i<num_scores;i++) { in calc_confidence()
938 *sdev/=(double)(num_scores-1); in calc_confidence()
947 *c_half_interval=student_t[num_scores-1] * (*sdev) / sqrt((double)num_scores); in calc_confidence()
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| H A D | nbench0.h | 312 int num_scores,
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| /dports/math/vowpal_wabbit/vowpal_wabbit-7.10/explore/static/ |
| H A D | MWTExplorer.h | 382 u32 num_scores = (u32)scores.size(); in Choose_Action() local
383 if (num_scores != m_num_actions) in Choose_Action()
391 for (i = 0; i < num_scores; i++) in Choose_Action()
400 for (i = 0; i < num_scores; i++) in Choose_Action()
408 for (size_t i = 0; i < num_scores; i++) in Choose_Action()
415 u32 action_index = num_scores - 1; in Choose_Action()
416 for (u32 i = 0; i < num_scores; i++) in Choose_Action()
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| /dports/graphics/scantailor/scantailor-advanced-1.0.16/imageproc/ |
| H A D | SkewFinder.cpp | 168 int num_scores = num_coarse_scores; in findSkew() local
170 num_scores += 2; in findSkew()
173 confidence = best_score / sum_scores * num_scores; in findSkew()
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| /dports/science/py-OpenMC/openmc-0.12.2/openmc/ |
| H A D | tallies.py | 163 def num_scores(self): member in Tally
176 return self.num_filter_bins * self.num_nuclides * self.num_scores
180 return (self.num_filter_bins, self.num_nuclides, self.num_scores)
1138 score_indices = np.arange(self.num_scores)
1405 new_shape += (self.num_nuclides, self.num_scores)
1619 stride = self.num_nuclides * self.num_scores
1728 self._mean = np.repeat(self.mean, other.num_scores, axis=2)
1729 self._std_dev = np.repeat(self.std_dev, other.num_scores, axis=2)
1730 other._mean = np.tile(other.mean, (1, 1, self.num_scores))
1731 other._std_dev = np.tile(other.std_dev, (1, 1, self.num_scores))
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| H A D | statepoint.py | 577 if exact_scores and len(scores) != test_tally.num_scores:
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| /dports/science/openmc/openmc-0.12.2/openmc/ |
| H A D | tallies.py | 163 def num_scores(self): member in Tally
176 return self.num_filter_bins * self.num_nuclides * self.num_scores
180 return (self.num_filter_bins, self.num_nuclides, self.num_scores)
1138 score_indices = np.arange(self.num_scores)
1405 new_shape += (self.num_nuclides, self.num_scores)
1619 stride = self.num_nuclides * self.num_scores
1728 self._mean = np.repeat(self.mean, other.num_scores, axis=2)
1729 self._std_dev = np.repeat(self.std_dev, other.num_scores, axis=2)
1730 other._mean = np.tile(other.mean, (1, 1, self.num_scores))
1731 other._std_dev = np.tile(other.std_dev, (1, 1, self.num_scores))
[all …]
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| H A D | statepoint.py | 577 if exact_scores and len(scores) != test_tally.num_scores:
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| /dports/biology/p5-BioPerl/BioPerl-1.7.7/lib/Bio/SearchIO/ |
| H A D | blasttable.pm | 201 my ($num_scores, $raw_score, $identities, $positives, $percent_pos,
215 ($qname,$hname,$evalue,$num_scores, $bits, $raw_score, $hsp_len,
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