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d S)as It computes the Yeo-Johnson transofrmation, which is an extension of Box-Cox transformation
but can handle both positive and negative values.
References:
Weisberg, S. (2001). Yeo-Johnson Power Transformations.
Department of Applied Statistics, University of Minnesota. Retrieved June, 1, 2003.
https://www.stat.umn.edu/arc/yjpower.pdf
Adapted from CRAN - Package VGAM
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QRX| S) aT Calculate the yeo-johnson transformation for a feature.
:param y: the variable to be transformed (numeric array).
:param lmbda: the function's Lambda value (numeric value or array).
:param derivative: the derivative with respect to lambda.
(non-negative integer; default: ordinary function evaluation).
:param epsilon: the lambda's tolerance (positive value).
:param inverse: the inverse transformation option (logical value).
:return: the Yeo-Johnson transformation or its inverse, or its derivatives with respect to lambda, of y.
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a╔ Validate the input arguments.
:param y: the variable to be transformed (numeric array).
:param lmbda: the function's Lambda value (numeric value or array).
:param derivative: the derivative with respect to lambda.
(non-negative integer; default: ordinary function evaluation).
:param epsilon: the lambda's tolerance (positive value).
:param inverse: the inverse transformation option (logical value).
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