nnpiv.diagnostics.relative_wellposedness_sieve_from_data
- nnpiv.diagnostics.relative_wellposedness_sieve_from_data(data, *, A, B=None, C, C_prime, mask_s=None, mask_t=None, **kwargs)[source]
Run the sieve-path pre-estimation diagnostic from dataset selectors.
- Parameters
data (DataFrame, mapping, or 2D array-like) – Source container holding all blocks.
A – Selectors resolved and passed to
relative_wellposedness_sieve_diagnostic().C – Selectors resolved and passed to
relative_wellposedness_sieve_diagnostic().C_prime – Selectors resolved and passed to
relative_wellposedness_sieve_diagnostic().B – Optional selector accepted for interface consistency with
(A, B, C, C')notation; ignored by this diagnostic.mask_s (array-like, str, or callable, optional) – Optional subset selectors for stage-specific sample restrictions.
mask_t (array-like, str, or callable, optional) – Optional subset selectors for stage-specific sample restrictions.
**kwargs – Forwarded to
relative_wellposedness_sieve_diagnostic().
- Returns
Output dictionary returned by
relative_wellposedness_sieve_diagnostic().- Return type
dict
Notes
Selector semantics match
relative_wellposedness_from_data().