Module validation 

Common input validation helpers.

These utilities centralise the dimension-checking boilerplate that recurs across regression, classification, depth, and alignment entry points.

Functions

validate_dist_mat

Validate that a distance matrix is square and optionally matches an expected size.

validate_fdata

Validate functional data dimensions.

validate_labels

Validate class labels match data dimensions and have at least min_classes classes.

validate_ncomp

Validate and clamp the ncomp parameter.

validate_response

Validate that a response vector matches the data row count.