Summed log ratio over independent observations, with the observation fixed

de_iid_evaluator()'s counterpart for a ratio estimator. There is no fast path to specialize: the classifier sees (theta, x_i) jointly, so every pair costs a forward pass however the loop is arranged.

Usage

nre_iid_evaluator(de, x, max_batch = 1e+05)

Arguments

de

A fitted density estimator.

x

Standardized observations, n_obs x dim_x.

max_batch

Largest number of pairs evaluated at once.

Value

function(theta) giving one summed log ratio per row of theta.