Logit_Scaler

class obsidian.parameters.transforms.Logit_Scaler(range_response: int | float = 1, loc: int | float = 0, override_fit: bool = False, standardize: bool = True)

Bases: Target_Transform

Scaler which normalizes based on a logit transform Can be fit to select an appropriate range for the logit

__init__(range_response: int | float = 1, loc: int | float = 0, override_fit: bool = False, standardize: bool = True)

Methods

__init__([range_response, loc, ...])
forward(X[, fit])	Evaluate the forward transformation on input data X
inverse(X)	Inverse transform the transformed data X_t

forward(X: Tensor, fit: bool = False)

Evaluate the forward transformation on input data X

inverse(X: Tensor)

Inverse transform the transformed data X_t