tf.contrib.metrics.aggregate_metric_map

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.

tf.contrib.metrics.aggregate_metric_map

Args

Returns