uniform_probe_kind#
- t3toolbox.backend.uniform_fitting.uniform_probe_kind(x0_data, weight=None)#
def uniform_probe_kind( x0_data: typ.Tuple, weight: typ.Optional[typ.Any] = None, # per-mode residual weight ω, (d,) / (d,1); None = 1 ) -> bfit.SamplingKind: # the uniform vector-valued `probe` sampling kind (optionally per-mode weighted)
The uniform probe
SamplingKind– the twin oft3toolbox.backend.fitting.probe_kind().The forward / residual are the packed probe output
(d,)+W+C+(N,)(mode indexdat axis 0, no order axis), so the per-mode weightωis built withmode_axis=0(no order axis) andsumsq/transposeare overridden to weight it (ωenterssumsq×ω,transpose×ω²).- Parameters:
x0_data (t3toolbox.backend.common.typ.Tuple)
weight (t3toolbox.backend.common.typ.Optional[t3toolbox.backend.common.typ.Any])
- Return type: