StepwiseConditional

Stepwise conditional transform: each variable normal-scored within the classes equal-probability classes of the variables before it.

fit method descriptor

fit(data, *, weights=None)

Fits the class tables; tied values share a class.

Parameters:

Name	Type	Description	Default
data	(array_like, shape(n, d))	Column order sets the conditioning order.	required
weights	array_like	Declustering weights, for every normal score.	None

from_json staticmethod

from_json(text)

Reads to_json output; raises InvalidInput on another class's JSON or a newer format.

to_json method descriptor

to_json()

JSON of the parameters and, once fitted, the fitted state.

used in

• multivariate transforms
• simulation with a trend
• A coal seam in a lease