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Aggregates the metric names to tuple dictionary.
tf.contrib.metrics.aggregate_metric_map(names_to_tuples)
This function is useful for pairing metric names with their associated value and update ops when the list of metrics is long. For example:
metrics_to_values, metrics_to_updates = slim.metrics.aggregate_metric_map({
'Mean Absolute Error': new_slim.metrics.streaming_mean_absolute_error(
predictions, labels, weights),
'Mean Relative Error': new_slim.metrics.streaming_mean_relative_error(
predictions, labels, labels, weights),
'RMSE Linear': new_slim.metrics.streaming_root_mean_squared_error(
predictions, labels, weights),
'RMSE Log': new_slim.metrics.streaming_root_mean_squared_error(
predictions, labels, weights),
})
Args:
names_to_tuples: a map of metric names to tuples, each of which contain the pair of (value_tensor, update_op) from a streaming metric.
Returns:
A dictionary from metric names to value ops and a dictionary from metric names to update ops.