Class ProcrusteanMapper

Initialize the ProcrusteanMapper

:Parameters:
  scaling: bool
    Scale data for the transformation (no longer rigid body
    transformation)
  reflection: bool
    Allow for the data to be reflected (so it might not be a rotation).
    Effective only for non-oblique transformations
  reduction: bool
    If true, it is allowed to map into lower-dimensional
    space. Forward transformation might be suboptimal then and reverse
    transformation might not recover all original variance
  oblique: bool
    Either to allow non-orthogonal transformation -- might heavily overfit
    the data if there is less samples than dimensions. Use `oblique_rcond`.
  oblique_rcond: float
    Cutoff for 'small' singular values to regularize the inverse. See
    :class:`~numpy.linalg.lstsq` for more information.

Parameters:

• selector, None, |, list - Which components (i.e. columns of the projection matrix) should be used for mapping. If selector is None all components are used. If a list is provided, all list elements are treated as component ids and the respective components are selected (all others are discarded).
• demean, bool - Either data should be demeaned while computing projections and applied back while doing reverse()

Overrides: object.__init__

Overrides: object.__repr__

(inherited documentation)

_DEV__doc__

Value:

"""Possibly revert back to inherit from ProjectionMapper"""

__doc__

Value:

enhancedDocString('ProcrusteanMapper', locals(), ProjectionMapper)