/dports/misc/py-xgboost/xgboost-1.5.1/src/objective/ |
H A D | regression_loss.h | 34 static bst_float ProbToMargin(bst_float base_score) { return base_score; } in ProbToMargin() 57 static bst_float ProbToMargin(bst_float base_score) { return base_score; } in ProbToMargin() 88 static bst_float ProbToMargin(bst_float base_score) { in ProbToMargin() 89 CHECK(base_score > 0.0f && base_score < 1.0f) in ProbToMargin() 90 << "base_score must be in (0,1) for logistic loss, got: " << base_score; in ProbToMargin() 91 return -logf(1.0f / base_score - 1.0f); in ProbToMargin() 118 static bst_float ProbToMargin(bst_float base_score) { in ProbToMargin() 119 return base_score; in ProbToMargin() 165 static bst_float ProbToMargin(bst_float base_score) { in ProbToMargin() 166 return base_score; in ProbToMargin()
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H A D | regression_obj.cu | 138 float ProbToMargin(float base_score) const override { in ProbToMargin() 139 return Loss::ProbToMargin(base_score); in ProbToMargin() 265 bst_float ProbToMargin(bst_float base_score) const override { in ProbToMargin() 266 return std::log(base_score); in ProbToMargin() 373 bst_float ProbToMargin(bst_float base_score) const override { in ProbToMargin() 374 return std::log(base_score); in ProbToMargin() 452 bst_float ProbToMargin(bst_float base_score) const override { in ProbToMargin() 453 return std::log(base_score); in ProbToMargin() 553 bst_float ProbToMargin(bst_float base_score) const override { in ProbToMargin() 554 return std::log(base_score); in ProbToMargin()
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/dports/misc/xgboost/xgboost-1.5.1/src/objective/ |
H A D | regression_loss.h | 34 static bst_float ProbToMargin(bst_float base_score) { return base_score; } in ProbToMargin() 57 static bst_float ProbToMargin(bst_float base_score) { return base_score; } in ProbToMargin() 88 static bst_float ProbToMargin(bst_float base_score) { in ProbToMargin() 89 CHECK(base_score > 0.0f && base_score < 1.0f) in ProbToMargin() 90 << "base_score must be in (0,1) for logistic loss, got: " << base_score; in ProbToMargin() 91 return -logf(1.0f / base_score - 1.0f); in ProbToMargin() 118 static bst_float ProbToMargin(bst_float base_score) { in ProbToMargin() 119 return base_score; in ProbToMargin() 165 static bst_float ProbToMargin(bst_float base_score) { in ProbToMargin() 166 return base_score; in ProbToMargin()
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H A D | regression_obj.cu | 138 float ProbToMargin(float base_score) const override { in ProbToMargin() 139 return Loss::ProbToMargin(base_score); in ProbToMargin() 265 bst_float ProbToMargin(bst_float base_score) const override { in ProbToMargin() 266 return std::log(base_score); in ProbToMargin() 373 bst_float ProbToMargin(bst_float base_score) const override { in ProbToMargin() 374 return std::log(base_score); in ProbToMargin() 452 bst_float ProbToMargin(bst_float base_score) const override { in ProbToMargin() 453 return std::log(base_score); in ProbToMargin() 553 bst_float ProbToMargin(bst_float base_score) const override { in ProbToMargin() 554 return std::log(base_score); in ProbToMargin()
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/dports/misc/py-xgboost/xgboost-1.5.1/plugin/updater_oneapi/ |
H A D | regression_loss_oneapi.h | 36 static bst_float ProbToMargin(bst_float base_score) { return base_score; } in ProbToMargin() 60 static bst_float ProbToMargin(bst_float base_score) { return base_score; } in ProbToMargin() 91 static bst_float ProbToMargin(bst_float base_score) { in ProbToMargin() 92 CHECK(base_score > 0.0f && base_score < 1.0f) in ProbToMargin() 93 << "base_score must be in (0,1) for logistic loss, got: " << base_score; in ProbToMargin() 94 return -logf(1.0f / base_score - 1.0f); in ProbToMargin()
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/dports/misc/xgboost/xgboost-1.5.1/plugin/updater_oneapi/ |
H A D | regression_loss_oneapi.h | 36 static bst_float ProbToMargin(bst_float base_score) { return base_score; } in ProbToMargin() 60 static bst_float ProbToMargin(bst_float base_score) { return base_score; } in ProbToMargin() 91 static bst_float ProbToMargin(bst_float base_score) { in ProbToMargin() 92 CHECK(base_score > 0.0f && base_score < 1.0f) in ProbToMargin() 93 << "base_score must be in (0,1) for logistic loss, got: " << base_score; in ProbToMargin() 94 return -logf(1.0f / base_score - 1.0f); in ProbToMargin()
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/dports/biology/p5-Bio-SCF/Bio-SCF-1.03/eg/ |
H A D | read_test_obj.pl | 15 $obj->base_score('A',$i), 16 $obj->base_score('C',$i), 17 $obj->base_score('G',$i), 18 $obj->base_score('T',$i),
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/dports/devel/py-cvss/cvss-2.2/cvss/ |
H A D | cvss2.py | 77 self.base_score = None 187 self.base_score = max(D('0.0'), self.base_score_equation()) 195 base_score = self.base_score_equation(adjusted_impact=True) 197 base_score = self.base_score 198 return round_to_1_decimal(base_score * self.get_value('E') * self.get_value('RL') * 236 scores = (self.base_score, self.temporal_score, self.environmental_score) 262 for score in (self.base_score, self.temporal_score, self.environmental_score):
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H A D | cvss3.py | 84 self.base_score = None 237 self.base_score = D('0.0') 241 self.base_score = round_up(min((self.isc + self.esc), D('10'))) 243 self.base_score = round_up(min(D('1.08') * (self.isc + self.esc), D('10'))) 249 self.temporal_score = round_up(self.base_score * self.get_value('E') * 342 return float(self.base_score), float(self.temporal_score), float(self.environmental_score) 374 for score in (self.base_score, self.temporal_score, self.environmental_score):
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/dports/misc/orange3/orange3-3.29.1/Orange/classification/ |
H A D | xgb.py | 47 base_score=None, argument 75 base_score=base_score, 110 base_score=None, argument 138 base_score=base_score,
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/dports/misc/orange3/orange3-3.29.1/Orange/regression/ |
H A D | xgb.py | 46 base_score=None, argument 67 base_score=base_score, random_state=random_state, 98 base_score=None, argument 119 base_score=base_score, random_state=random_state,
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/dports/net-p2p/bazarr/bazarr-1.0.2/libs/subzero/ |
H A D | score_range.py | 12 return [base_score + i + j for i in x for j in x] 18 base_score = sum([val for key, val in scores.items() if key in base_score_keys]) variable 20 print("base score:", base_score)
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/dports/misc/py-xgboost/xgboost-1.5.1/tests/cpp/predictor/ |
H A D | test_gpu_predictor.cu | 39 param.base_score = 0.5; in TEST() 101 param.base_score = 0.5; in TEST() 171 param.base_score = 0.5; in TEST() 186 EXPECT_EQ(phis[1], param.base_score); in TEST() 188 EXPECT_EQ(phis[3], param.base_score); in TEST() 190 EXPECT_EQ(phis[5], param.base_score); in TEST() 197 param.base_score = 0.5; in TEST() 247 param.base_score = 0.0; in TEST()
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/dports/misc/xgboost/xgboost-1.5.1/tests/cpp/predictor/ |
H A D | test_gpu_predictor.cu | 39 param.base_score = 0.5; in TEST() 101 param.base_score = 0.5; in TEST() 171 param.base_score = 0.5; in TEST() 186 EXPECT_EQ(phis[1], param.base_score); in TEST() 188 EXPECT_EQ(phis[3], param.base_score); in TEST() 190 EXPECT_EQ(phis[5], param.base_score); in TEST() 197 param.base_score = 0.5; in TEST() 247 param.base_score = 0.0; in TEST()
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/dports/www/chromium-legacy/chromium-88.0.4324.182/chrome/browser/ui/commander/ |
H A D | fuzzy_finder.cc | 34 const double base_score = 1.0 / needle_size; in ScoreForMatches() local 48 base_score * (i == 0 ? kInitialMultiplier : kWordBoundaryMultiplier); in ScoreForMatches() 52 score += base_score * kRegularMultiplier * penalty_multiplier; in ScoreForMatches() 55 score += (match.range.length() - 1) * base_score * kRegularMultiplier; in ScoreForMatches()
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/dports/misc/py-xgboost/xgboost-1.5.1/include/xgboost/ |
H A D | objective.h | 72 virtual bst_float ProbToMargin(bst_float base_score) const { in ProbToMargin() argument 73 return base_score; in ProbToMargin()
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/dports/misc/xgboost/xgboost-1.5.1/include/xgboost/ |
H A D | objective.h | 72 virtual bst_float ProbToMargin(bst_float base_score) const { in ProbToMargin() argument 73 return base_score; in ProbToMargin()
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/dports/misc/py-xgboost/xgboost-1.5.1/src/gbm/ |
H A D | gbtree.cu | 37 size_t n_rows, float base_score, in GPUDartInplacePredictInc() argument 41 out_predts[offset] += (predts[offset] - base_score) * tree_w; in GPUDartInplacePredictInc()
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/dports/misc/xgboost/xgboost-1.5.1/src/gbm/ |
H A D | gbtree.cu | 37 size_t n_rows, float base_score, in GPUDartInplacePredictInc() argument 41 out_predts[offset] += (predts[offset] - base_score) * tree_w; in GPUDartInplacePredictInc()
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/dports/misc/py-xgboost/xgboost-1.5.1/src/ |
H A D | learner.cc | 79 bst_float base_score; member 96 base_score = 0.5f; in LearnerModelParamLegacy() 131 from_chars(str.c_str(), str.c_str() + str.size(), base_score); in FromJson() 135 dmlc::ByteSwap(&x.base_score, sizeof(x.base_score), 1); in ByteSwap() 148 DMLC_DECLARE_FIELD(base_score) in DMLC_DECLARE_PARAMETER() 164 : base_score{base_margin}, num_feature{user_param.num_feature}, in LearnerModelParam() 341 if (!learner_model_param_.Initialized() || mparam_.base_score != mparam_backup.base_score) { in Configure() 826 t.HostVector().at(0) = mparam_.base_score; in LoadModel() 828 auto base_score = t.HostVector().at(0); in LoadModel() local 829 mparam_.base_score = base_score; in LoadModel() [all …]
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/dports/misc/xgboost/xgboost-1.5.1/src/ |
H A D | learner.cc | 79 bst_float base_score; member 96 base_score = 0.5f; in LearnerModelParamLegacy() 131 from_chars(str.c_str(), str.c_str() + str.size(), base_score); in FromJson() 135 dmlc::ByteSwap(&x.base_score, sizeof(x.base_score), 1); in ByteSwap() 148 DMLC_DECLARE_FIELD(base_score) in DMLC_DECLARE_PARAMETER() 164 : base_score{base_margin}, num_feature{user_param.num_feature}, in LearnerModelParam() 341 if (!learner_model_param_.Initialized() || mparam_.base_score != mparam_backup.base_score) { in Configure() 826 t.HostVector().at(0) = mparam_.base_score; in LoadModel() 828 auto base_score = t.HostVector().at(0); in LoadModel() local 829 mparam_.base_score = base_score; in LoadModel() [all …]
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/dports/misc/py-xgboost/xgboost-1.5.1/plugin/example/ |
H A D | custom_obj.cc | 68 bst_float ProbToMargin(bst_float base_score) const override { in ProbToMargin() 70 return -std::log(1.0f / base_score - 1.0f); in ProbToMargin()
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/dports/misc/py-xgboost/xgboost-1.5.1/tests/cpp/linear/ |
H A D | test_linear.cc | 24 mparam.base_score = 0.5; in TEST() 60 mparam.base_score = 0.5; in TEST()
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/dports/misc/xgboost/xgboost-1.5.1/tests/cpp/linear/ |
H A D | test_linear.cc | 24 mparam.base_score = 0.5; in TEST() 60 mparam.base_score = 0.5; in TEST()
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/dports/misc/xgboost/xgboost-1.5.1/plugin/example/ |
H A D | custom_obj.cc | 68 bst_float ProbToMargin(bst_float base_score) const override { in ProbToMargin() 70 return -std::log(1.0f / base_score - 1.0f); in ProbToMargin()
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