EntriesKind#

class t3toolbox.backend.fitting.EntriesKind#

Bases: _IndexSample, ScalarOutputKind

The all-modes entries: one scalar per multi-index. Unweighted.

name = 'entries'#

Methods#

precompute(frame, index)

The reusable frame sweep at frame for sample (computed once per local model).

forward(v, index, frame, sweep)

The bare Jacobian J v (no gauge).

transpose(r, index, frame, sweep)

The bare transpose J^T r, summed over the sample stack W; raw (dU, dG).

point_forward(x_cores, index)

The point operation S(x) -- what the residual is measured against.

take(sample, data, idx)

Gather a flat W subset of (sample, data) -- the default minibatch draw's layout hook.