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See the @{$python/contrib.metrics} guide.

@@streaming_accuracy
@@streaming_mean
@@streaming_recall
@@streaming_recall_at_thresholds
@@streaming_precision
@@streaming_precision_at_thresholds
@@streaming_auc
@@streaming_recall_at_k
@@streaming_mean_absolute_error
@@streaming_mean_iou
@@streaming_mean_relative_error
@@streaming_mean_squared_error
@@streaming_mean_tensor
@@streaming_root_mean_squared_error
@@streaming_covariance
@@streaming_pearson_correlation
@@streaming_mean_cosine_distance
@@streaming_percentage_less
@@streaming_sensitivity_at_specificity
@@streaming_sparse_average_precision_at_k
@@streaming_sparse_precision_at_k
@@streaming_sparse_precision_at_top_k
@@streaming_sparse_recall_at_k
@@streaming_specificity_at_sensitivity
@@streaming_concat
@@streaming_false_negatives
@@streaming_false_negatives_at_thresholds
@@streaming_false_positives
@@streaming_false_positives_at_thresholds
@@streaming_true_negatives
@@streaming_true_negatives_at_thresholds
@@streaming_true_positives
@@streaming_true_positives_at_thresholds
@@auc_using_histogram
@@accuracy
@@aggregate_metrics
@@aggregate_metric_map
@@confusion_matrix
@@set_difference
@@set_intersection
@@set_size
@@set_union

i    (   t   absolute_import(   t   division(   t   print_function(   t   *(   t   confusion_matrix(   t   auc_using_histogram(   t   aggregate_metric_map(   t   aggregate_metrics(   t   streaming_accuracy(   t   streaming_auc(   t   streaming_concat(   t   streaming_covariance(   t   streaming_false_negatives(   t'   streaming_false_negatives_at_thresholds(   t   streaming_false_positives(   t'   streaming_false_positives_at_thresholds(   t   streaming_mean(   t   streaming_mean_absolute_error(   t   streaming_mean_cosine_distance(   t   streaming_mean_iou(   t   streaming_mean_relative_error(   t   streaming_mean_squared_error(   t   streaming_mean_tensor(   t   streaming_pearson_correlation(   t   streaming_percentage_less(   t   streaming_precision(   t!   streaming_precision_at_thresholds(   t   streaming_recall(   t   streaming_recall_at_k(   t   streaming_recall_at_thresholds(   t!   streaming_root_mean_squared_error(   t$   streaming_sensitivity_at_specificity(   t'   streaming_sparse_average_precision_at_k(   t   streaming_sparse_precision_at_k(   t#   streaming_sparse_precision_at_top_k(   t   streaming_sparse_recall_at_k(   t$   streaming_specificity_at_sensitivity(   t   streaming_true_negatives(   t&   streaming_true_negatives_at_thresholds(   t   streaming_true_positives(   t&   streaming_true_positives_at_thresholds(   t   set_difference(   t   set_intersection(   t   set_size(   t	   set_union(   t   remove_undocumentedN(6   t   __doc__t
   __future__R    R   R   t)   tensorflow.contrib.metrics.python.metricst:   tensorflow.contrib.metrics.python.ops.confusion_matrix_opsR   t3   tensorflow.contrib.metrics.python.ops.histogram_opsR   t0   tensorflow.contrib.metrics.python.ops.metric_opsR   R   R   R	   R
   R   R   R   R   R   R   R   R   R   R   R   R   R   R   R   R   R   R   R   R   R   R    R!   R"   R#   R$   R%   R&   R'   R(   t-   tensorflow.contrib.metrics.python.ops.set_opsR)   R*   R+   R,   t   tensorflow.python.util.all_utilR-   t   __name__(    (    (    se   /tmp/pip-build-h1VYrz/tensorflow/tensorflow-1.0.1.data/purelib/tensorflow/contrib/metrics/__init__.pyt   <module>>   s^   
