tf.contrib.metrics.streaming_sparse_recall_at_k(*args, **kwargs) Computes recall@k of the predictions with respect to sparse labels

tf.contrib.metrics.aggregate_metrics(*value_update_tuples) Aggregates the metric value tensors and update ops into two lists.

tf.contrib.metrics.streaming_recall(*args, **kwargs) Computes the recall of the predictions with respect to the labels. (deprecated

tf.contrib.metrics.streaming_mean_iou(*args, **kwargs) Calculate per-step mean Intersection-Over-Union (mIOU). (deprecated arguments)

tf.contrib.metrics.streaming_sparse_average_precision_at_k(predictions, labels, k, weights=None, metrics_collections=None, updates_collections=None, name=None)

tf.contrib.metrics.streaming_root_mean_squared_error(predictions, labels, weights=None, metrics_collections=None, updates_collections=None, name=None)

tf.contrib.metrics.streaming_mean_relative_error(predictions, labels, normalizer, weights=None, metrics_collections=None, updates_collections=None, name=None)

tf.contrib.metrics.streaming_mean(values, weights=None, metrics_collections=None, updates_collections=None, name=None) Computes

tf.contrib.metrics.set_size(a, validate_indices=True) Compute number of unique elements along last dimension of a

tf.contrib.metrics.streaming_covariance(predictions, labels, weights=None, metrics_collections=None, updates_collections=None, name=None)