OpenGrok
Home
Sort by relevance
Sort by last modified time
Full Search
Definition
Symbol
File Path
History
|
|
Help
Searched
refs:auc
(Results
1 - 11
of
11
) sorted by null
/external/tensorflow/tensorflow/contrib/metrics/python/kernel_tests/
histogram_ops_test.py
65
auc
, update_op = histogram_ops.auc_using_histogram(labels, scores,
69
self.assertTrue(np.isnan(
auc
.eval()))
138
"""Check
auc
accuracy against synthetic data.
142
desired_auc: Number in [0, 1]. The desired
auc
for synthetic data.
149
atol: Absolute tolerance for final
AUC
estimate.
151
batch of synthetic data, before computing final
AUC
.
154
AssertionError: If resultant
AUC
is not within atol of theoretical
AUC
161
auc
, update_op = histogram_ops.auc_using_histogram(
164
# Updates, then extract
auc
[
all
...]
/external/tensorflow/tensorflow/contrib/estimator/python/estimator/
replicate_model_fn_test.py
195
'
auc
': metrics_lib.
auc
(labels, predictions)
319
auc
, b = estimator_spec.eval_metric_ops['
auc
']
323
auc
= session.run(
auc
)
332
self.assertEqual(0,
auc
)
348
auc
, b = estimator_spec.eval_metric_ops['
auc
']
352
auc
= session.run(auc
[
all
...]
head.py
541
head_lib._summary_key(self._name, keys.
AUC
): # pylint:disable=protected-access
542
metrics_lib.
auc
(labels=labels, predictions=probabilities,
543
weights=weights, name=keys.
AUC
),
545
metrics_lib.
auc
(labels=labels, predictions=probabilities,
/external/tensorflow/tensorflow/contrib/metrics/python/ops/
metric_ops.py
[
all
...]
histogram_ops.py
46
"""
AUC
computed by maintaining histograms.
48
Rather than computing
AUC
directly, this Op maintains Variables containing
50
comparing these the
AUC
is generated, with some discretization error.
51
See: "Efficient
AUC
Learning Curve Calculation" by Bouckaert.
53
This
AUC
Op updates in `O(batch_size + nbins)` time and works well even with
74
auc
: `float32` scalar `Tensor`. Fetching this converts internal histograms
75
to
auc
value.
93
auc
= _auc_convert_hist_to_auc(hist_true_acc, hist_false_acc, nbins)
94
return
auc
, update_op
179
"""Convert histograms to
auc
[
all
...]
metric_ops_test.py
[
all
...]
/external/tensorflow/tensorflow/python/kernel_tests/
metrics_test.py
[
all
...]
/external/clang/test/CodeGen/
builtins-ppc-vsx.c
28
unsigned char
auc
[16] = { 8, 9, 10, 11, 12, 13, 14, 15,
variable
419
res_vuc = vec_vsx_ld(0,
auc
);
[
all
...]
/external/tensorflow/tensorflow/python/estimator/canned/
head.py
484
with ops.name_scope(name, '
auc
', (predictions, labels, weights)) as scope:
488
return metrics_lib.
auc
(
[
all
...]
/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/
head.py
[
all
...]
/external/tensorflow/tensorflow/python/ops/
metrics_impl.py
574
@tf_export('metrics.
auc
')
575
def
auc
(labels,
function
584
"""Computes the approximate
AUC
via a Riemann sum.
586
The `
auc
` function creates four local variables, `true_positives`,
588
compute the
AUC
. To discretize the
AUC
curve, a linearly spaced set of
594
This value is ultimately returned as `
auc
`, an idempotent operation that
598
closely approximating the true
AUC
. The quality of the approximation may vary
602
in the range [0, 1] and not peaked around 0 or 1. The quality of the
AUC
605
by providing lower or upper bound estimate of the
AUC
[
all
...]
Completed in 1009 milliseconds