`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'`