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  /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
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  /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);
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  /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
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