ed.util.with_binary_averaging

with_binary_averaging(metric)

Defined in edward/util/metrics.py.

Inspired by scikit-learn's _average_binary_score function: https://github.com/scikit-learn/scikit-learn/blob/d9fdd8b0d1053cb47af8e3823b7a05279dd72054/sklearn/metrics/base.py#L23.

None: computes the specified metric along the second-to-last dimension of y_true and y_pred. Returns a vector of "class-wise" metrics. 'macro': same as None, except compute the (unweighted) global average of the resulting vector. 'micro': flatten y_true and y_pred into vectors, then compute 'macro'