| /external/tensorflow/tensorflow/python/keras/utils/ |
| D | metrics_utils.py | 144 def assert_thresholds_range(thresholds): argument
145 if thresholds is not None:
146 invalid_thresholds = [t for t in thresholds if t is None or t < 0 or t > 1]
153 def parse_init_thresholds(thresholds, default_threshold=0.5): argument
154 if thresholds is not None:
155 assert_thresholds_range(to_list(thresholds))
156 thresholds = to_list(default_threshold if thresholds is None else thresholds)
157 return thresholds
215 thresholds, argument
302 thresholds = to_list(thresholds)
[all …]
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| /external/libaom/libaom/av1/encoder/ |
| D | var_based_part.c | 356 static void set_vbp_thresholds(AV1_COMP *cpi, int64_t thresholds[], int q, in set_vbp_thresholds() argument
365 thresholds[0] = threshold_base; in set_vbp_thresholds()
366 thresholds[1] = threshold_base; in set_vbp_thresholds()
367 thresholds[2] = threshold_base >> 2; in set_vbp_thresholds()
368 thresholds[3] = threshold_base >> 2; in set_vbp_thresholds()
369 thresholds[4] = threshold_base << 2; in set_vbp_thresholds()
375 thresholds[1] = threshold_base; in set_vbp_thresholds()
376 thresholds[3] = threshold_base << cpi->oxcf.speed; in set_vbp_thresholds()
378 thresholds[3] = thresholds[3] << 1; in set_vbp_thresholds()
380 thresholds[1] = threshold_base >> 3; in set_vbp_thresholds()
[all …]
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| /external/tensorflow/tensorflow/python/keras/ |
| D | metrics.py | 809 thresholds=None, argument
826 self.init_thresholds = thresholds
827 self.thresholds = metrics_utils.parse_init_thresholds(
828 thresholds, default_threshold=0.5)
831 shape=(len(self.thresholds),),
851 thresholds=self.thresholds,
855 if len(self.thresholds) == 1:
862 num_thresholds = len(to_list(self.thresholds))
903 def __init__(self, thresholds=None, name=None, dtype=None): argument
917 thresholds=thresholds,
[all …]
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| D | metrics_confusion_matrix_test.py | 41 fp_obj = metrics.FalsePositives(name='my_fp', thresholds=[0.4, 0.9])
44 self.assertEqual(fp_obj.thresholds, [0.4, 0.9])
50 self.assertEqual(fp_obj2.thresholds, [0.4, 0.9])
78 fp_obj = metrics.FalsePositives(thresholds=[0.15, 0.5, 0.85])
92 fp_obj = metrics.FalsePositives(thresholds=[0.15, 0.5, 0.85])
109 metrics.FalsePositives(thresholds=[-1, 0.5, 2])
114 metrics.FalsePositives(thresholds=[None])
121 fn_obj = metrics.FalseNegatives(name='my_fn', thresholds=[0.4, 0.9])
124 self.assertEqual(fn_obj.thresholds, [0.4, 0.9])
130 self.assertEqual(fn_obj2.thresholds, [0.4, 0.9])
[all …]
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| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| D | logistic_regressor.py | 52 thresholds = params.get('thresholds') or [.5]
59 thresholds=thresholds)
79 model_fn, thresholds=None, model_dir=None, config=None, argument
129 params={'thresholds': thresholds},
133 def _make_logistic_eval_metric_ops(labels, predictions, thresholds): argument
163 for threshold in thresholds:
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| D | head.py | 275 thresholds=None, argument
336 thresholds=thresholds,
345 thresholds=thresholds,
357 thresholds=None,): argument
384 thresholds=thresholds)
393 thresholds=None, argument
443 thresholds=thresholds,
819 thresholds=None): argument
846 self._thresholds = thresholds if thresholds else (.5,)
1000 thresholds=None, argument
[all …]
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| /external/ImageMagick/MagickCore/ |
| D | threshold.c | 924 const char *thresholds,ExceptionInfo *exception) in BlackThresholdImage() argument
953 if (thresholds == (const char *) NULL) in BlackThresholdImage()
960 flags=ParseGeometry(thresholds,&geometry_info); in BlackThresholdImage()
1330 *thresholds; in GetThresholdMapFile() local
1335 thresholds=NewXMLTree(xml,exception); in GetThresholdMapFile()
1336 if (thresholds == (XMLTreeInfo *) NULL) in GetThresholdMapFile()
1338 for (threshold=GetXMLTreeChild(thresholds,"threshold"); in GetThresholdMapFile()
1351 thresholds=DestroyXMLTree(thresholds); in GetThresholdMapFile()
1359 thresholds=DestroyXMLTree(thresholds); in GetThresholdMapFile()
1367 thresholds=DestroyXMLTree(thresholds); in GetThresholdMapFile()
[all …]
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| /external/skia/src/gpu/gradients/ |
| D | GrUnrolledBinaryGradientColorizer.fp | 38 // is worth it. It is assumed thresholds are provided in increasing value, mapped as:
141 SkScalar thresholds[kMaxIntervals];
170 thresholds[intervalCount] = t1;
178 thresholds[i] = 0.0;
185 SkRect::MakeLTRB(thresholds[0], thresholds[1], thresholds[2], thresholds[3]),
186 SkRect::MakeLTRB(thresholds[4], thresholds[5], thresholds[6], 0.0)));
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| D | GrUnrolledBinaryGradientColorizer.cpp | 334 SkScalar thresholds[kMaxIntervals]; in Make() local
363 thresholds[intervalCount] = t1; in Make()
371 thresholds[i] = 0.0; in Make()
378 SkRect::MakeLTRB(thresholds[0], thresholds[1], thresholds[2], thresholds[3]), in Make()
379 SkRect::MakeLTRB(thresholds[4], thresholds[5], thresholds[6], 0.0))); in Make()
|
| /external/skqp/src/gpu/gradients/ |
| D | GrUnrolledBinaryGradientColorizer.fp | 38 // is worth it. It is assumed thresholds are provided in increasing value, mapped as:
141 SkScalar thresholds[kMaxIntervals];
170 thresholds[intervalCount] = t1;
178 thresholds[i] = 0.0;
185 SkRect::MakeLTRB(thresholds[0], thresholds[1], thresholds[2], thresholds[3]),
186 SkRect::MakeLTRB(thresholds[4], thresholds[5], thresholds[6], 0.0)));
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| D | GrUnrolledBinaryGradientColorizer.cpp | 334 SkScalar thresholds[kMaxIntervals]; in Make() local
363 thresholds[intervalCount] = t1; in Make()
371 thresholds[i] = 0.0; in Make()
378 SkRect::MakeLTRB(thresholds[0], thresholds[1], thresholds[2], thresholds[3]), in Make()
379 SkRect::MakeLTRB(thresholds[4], thresholds[5], thresholds[6], 0.0))); in Make()
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| /external/tensorflow/tensorflow/contrib/metrics/python/ops/ |
| D | metric_ops.py | 686 thresholds,
744 num_thresholds = len(thresholds)
758 array_ops.expand_dims(array_ops.constant(thresholds), [1]),
839 thresholds,
842 predictions, labels, thresholds, weights=weights, includes=('tp',))
848 thresholds,
851 predictions, labels, thresholds, weights=weights, includes=('fn',))
857 thresholds,
860 predictions, labels, thresholds, weights=weights, includes=('fp',))
866 thresholds,
[all …]
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| D | metric_ops_test.py | 872 (0.0, 1.0, 0.0), (0, 1, 1), thresholds=(0.15, 0.5, 0.85))
880 predictions, labels, thresholds=(0.15, 0.5, 0.85))
893 predictions, labels, weights=37.0, thresholds=(0.15, 0.5, 0.85))
910 (0.0, 1.0, 0.0), (0, 1, 1), thresholds=(
922 predictions, labels, thresholds=(0.15, 0.5, 0.85))
938 thresholds=(0.15, 0.5, 0.85))
955 (0.0, 1.0, 0.0), (0, 1, 1), thresholds=(0.15, 0.5, 0.85))
963 predictions, labels, thresholds=(0.15, 0.5, 0.85))
980 thresholds=(0.15, 0.5, 0.85))
997 (0.0, 1.0, 0.0), (0, 1, 1), thresholds=(0.15, 0.5, 0.85))
[all …]
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| /external/tensorflow/tensorflow/contrib/metrics/python/metrics/ |
| D | classification.py | 151 thresholds = [(i + 1) * 1.0 / (num_thresholds - 1)
153 thresholds = [0.0 - epsilon] + thresholds + [1.0 + epsilon]
157 labels, predictions, thresholds, weights, includes=('tp', 'fp', 'fn'))
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| /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
| D | statistical_testing_test.py | 31 thresholds = [1e-5, 1e-2, 1.1e-1, 0.9, 1., 1.02, 2., 10., 1e2, 1e5, 1e10]
41 thresholds, low=0., high=1., false_fail_rate=false_fail_rate,
51 below_threshold = discrepancies <= thresholds
58 thresholds = [1e-5, 1e-2, 1.1e-1, 0.9, 1., 1.02, 2., 10., 1e2, 1e5, 1e10]
71 thresholds, low1=0., high1=1., low2=0., high2=1.,
89 below_threshold = discrepancies <= thresholds
|
| /external/tensorflow/tensorflow/python/ops/ |
| D | metrics_impl.py | 463 thresholds,
531 num_thresholds = len(thresholds)
545 array_ops.expand_dims(array_ops.constant(thresholds), [1]),
717 thresholds = [
720 thresholds = [0.0 - kepsilon] + thresholds + [1.0 + kepsilon]
723 labels, predictions, thresholds, weights)
1548 thresholds,
1591 labels, predictions, thresholds, weights=weights, includes=('fn',))
1657 thresholds,
1700 labels, predictions, thresholds, weights=weights, includes=('fp',))
[all …]
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| /external/tensorflow/tensorflow/python/kernel_tests/boosted_trees/ |
| D | training_ops_test.py | 75 thresholds=[
266 thresholds=[
446 thresholds=[feature1_thresholds],
601 thresholds=[
741 thresholds=[],
870 thresholds=[
964 thresholds=[feature1_thresholds, feature2_thresholds],
1040 thresholds=[feature1_thresholds],
1148 thresholds=[feature1_thresholds],
1299 thresholds=[feature1_thresholds, feature2_thresholds],
[all …]
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.metrics.pbtxt | 21 …argspec: "args=[\'labels\', \'predictions\', \'thresholds\', \'weights\', \'metrics_collections\',…
29 …argspec: "args=[\'labels\', \'predictions\', \'thresholds\', \'weights\', \'metrics_collections\',…
77 …argspec: "args=[\'labels\', \'predictions\', \'thresholds\', \'weights\', \'metrics_collections\',…
93 …argspec: "args=[\'labels\', \'predictions\', \'thresholds\', \'weights\', \'metrics_collections\',…
125 …argspec: "args=[\'labels\', \'predictions\', \'thresholds\', \'weights\', \'metrics_collections\',…
133 …argspec: "args=[\'labels\', \'predictions\', \'thresholds\', \'weights\', \'metrics_collections\',…
|
| /external/tensorflow/tensorflow/contrib/model_pruning/python/ |
| D | pruning.py | 497 thresholds = get_thresholds()
499 if len(masks) != len(thresholds):
502 (len(masks), len(thresholds)))
505 threshold = thresholds[index]
566 thresholds = get_thresholds()
567 for mask, threshold in zip(masks, thresholds):
|
| /external/aac/libSBRenc/src/ |
| D | tran_det.cpp | 472 FIXP_DBL *RESTRICT thresholds, in calculateThresholds() argument
538 ? fMult(FL2FXCONST_DBL(0.66f), thresholds[i]) + in calculateThresholds()
542 thresholds[i] = fixMax(ABS_THRES, temp); in calculateThresholds()
553 FIXP_DBL *RESTRICT thresholds, FIXP_DBL *RESTRICT transients, in extractTransientCandidates() argument
591 FIXP_DBL thres = thresholds[i]; in extractTransientCandidates()
593 if ((LONG)thresholds[i] >= 256) in extractTransientCandidates()
594 i_thres = (LONG)((LONG)MAXVAL_DBL / ((((LONG)thresholds[i])) + 1)) in extractTransientCandidates()
678 calculateThresholds(Energies, scaleEnergies, h_sbrTran->thresholds, in FDKsbrEnc_transientDetect()
683 Energies, scaleEnergies, h_sbrTran->thresholds, h_sbrTran->transients, in FDKsbrEnc_transientDetect()
|
| /external/ImageMagick/config/ |
| D | Makefile.am | 41 config/thresholds.xml \
66 config/thresholds.xml \
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | metrics_test.py | 1693 thresholds=[0, 0.5, 1.0])
1705 thresholds=[0, 0.5, 1.0],
1710 thresholds=[0, 0.5, 1.0],
1720 thresholds=[0, 0.5, 1.0],
1725 thresholds=[0, 0.5, 1.0],
1736 thresholds = [0, 0.5, 1.0]
1738 thresholds)
1739 rec, rec_op = metrics.recall_at_thresholds(labels, predictions, thresholds)
1761 thresholds = [0.5]
1763 thresholds)
[all …]
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| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| D | target_column.py | 315 return get_default_binary_metrics_for_eval(thresholds=[.5])
447 def get_default_binary_metrics_for_eval(thresholds): argument
466 for threshold in thresholds:
515 thresholds=[threshold],
|
| /external/tensorflow/tensorflow/contrib/tensor_forest/client/ |
| D | eval_metrics.py | 104 thresholds=np.arange(0, 1, 0.01, dtype=np.float32),
117 thresholds=np.arange(0, 1, 0.01, dtype=np.float32),
|
| /external/python/cpython2/Lib/test/ |
| D | test_gc.py | 219 thresholds = gc.get_threshold()
230 gc.set_threshold(*thresholds)
234 thresholds = gc.get_threshold()
245 gc.set_threshold(*thresholds)
|