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Update metrics_ops.py #18155

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merged 2 commits into from
Apr 5, 2018
Merged

Update metrics_ops.py #18155

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d9316b7
Update metrics_ops.py
alanyee Apr 1, 2018
f4f703f
Update metrics_ops.py
alanyee Apr 2, 2018
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37 changes: 21 additions & 16 deletions tensorflow/contrib/metrics/python/ops/metric_ops.py
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Original file line number Diff line number Diff line change
Expand Up @@ -62,7 +62,8 @@ def _safe_div(numerator, denominator, name):
0,
name=name)


@deprecated(None, 'Please switch to tf.metrics.true_positives. Note that the '
'order of the labels and predictions arguments has been switched.')
def streaming_true_positives(predictions,
labels,
weights=None,
Expand Down Expand Up @@ -106,7 +107,8 @@ def streaming_true_positives(predictions,
updates_collections=updates_collections,
name=name)


@deprecated(None, 'Please switch to tf.metrics.true_negatives. Note that the '
'order of the labels and predictions arguments has been switched.')
def streaming_true_negatives(predictions,
labels,
weights=None,
Expand Down Expand Up @@ -150,7 +152,8 @@ def streaming_true_negatives(predictions,
updates_collections=updates_collections,
name=name)


@deprecated(None, 'Please switch to tf.metrics.false_positives. Note that the '
'order of the labels and predictions arguments has been switched.')
def streaming_false_positives(predictions,
labels,
weights=None,
Expand Down Expand Up @@ -194,7 +197,8 @@ def streaming_false_positives(predictions,
updates_collections=updates_collections,
name=name)


@deprecated(None, 'Please switch to tf.metrics.false_negatives. Note that the '
'order of the labels and predictions arguments has been switched.')
def streaming_false_negatives(predictions,
labels,
weights=None,
Expand Down Expand Up @@ -237,7 +241,7 @@ def streaming_false_negatives(predictions,
updates_collections=updates_collections,
name=name)


@deprecated(None, 'Please switch to tf.metrics.mean')
def streaming_mean(values,
weights=None,
metrics_collections=None,
Expand Down Expand Up @@ -286,7 +290,7 @@ def streaming_mean(values,
updates_collections=updates_collections,
name=name)


@deprecated(None, 'Please switch to tf.metrics.mean_tensor')
def streaming_mean_tensor(values,
weights=None,
metrics_collections=None,
Expand Down Expand Up @@ -340,9 +344,8 @@ def streaming_mean_tensor(values,
name=name)


@deprecated(None,
'Please switch to tf.metrics.accuracy. Note that the order of the '
'labels and predictions arguments has been switched.')
@deprecated(None, 'Please switch to tf.metrics.accuracy. Note that the order '
'of the labels and predictions arguments has been switched.')
def streaming_accuracy(predictions,
labels,
weights=None,
Expand Down Expand Up @@ -399,7 +402,8 @@ def streaming_accuracy(predictions,
updates_collections=updates_collections,
name=name)


@deprecated(None, 'Please switch to tf.metrics.precision. Note that the order '
'of the labels and predictions arguments has been switched.')
def streaming_precision(predictions,
labels,
weights=None,
Expand Down Expand Up @@ -455,7 +459,8 @@ def streaming_precision(predictions,
updates_collections=updates_collections,
name=name)


@deprecated(None, 'Please switch to tf.metrics.recall. Note that the order '
'of the labels and predictions arguments has been switched.')
def streaming_recall(predictions,
labels,
weights=None,
Expand Down Expand Up @@ -975,8 +980,8 @@ def compute_points(tp, fn, tn, fp):
return points, update_op


@deprecated(None, 'Please switch to tf.metrics.auc. Note that the order of the '
'labels and predictions arguments has been switched.')
@deprecated(None, 'Please switch to tf.metrics.auc. Note that the order of '
'the labels and predictions arguments has been switched.')
def streaming_auc(predictions,
labels,
weights=None,
Expand Down Expand Up @@ -1797,9 +1802,9 @@ def streaming_sensitivity_at_specificity(predictions,
name=name)


@deprecated(
None, 'Please switch to tf.metrics.precision_at_thresholds. Note that the '
'order of the labels and predictions arguments has been switched.')
@deprecated(None,
'Please switch to tf.metrics.precision_at_thresholds. Note that '
'the order of the labels and predictions arguments are switched.')
def streaming_precision_at_thresholds(predictions,
labels,
thresholds,
Expand Down