tf.contrib.metrics.set_union()

tf.contrib.metrics.set_union(a, b, validate_indices=True) Compute set union of elements in last dimension of a and

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tf.contrib.metrics.streaming_recall()

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

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Ops

Contents Metrics (contrib)Ops for evaluation metrics and summary statistics.API Metric Ops tf

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tf.contrib.metrics.streaming_root_mean_squared_error()

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

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tf.contrib.metrics.set_size()

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

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tf.contrib.metrics.streaming_mean()

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

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tf.contrib.metrics.streaming_covariance()

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

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tf.contrib.metrics.streaming_sparse_average_precision_at_k()

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

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tf.contrib.metrics.streaming_mean_iou()

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

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tf.contrib.metrics.streaming_mean_relative_error()

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

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