transforms

name	summary	used in
NormalScore	Normal-score transform through the (weighted) empirical CDF, or through a smooth reference distribution.	30
Capping	Top-cut transform: clips values to a cap per domain.	6
HermiteAnamorphosis	Gaussian anamorphosis expanded in Hermite polynomials.	4
BoxCox	Box-Cox power transform; lambda_=None picks the least-skewed lambda.
PPMT	Projection-pursuit multivariate transform to independent Gaussians.	6
PCA	Principal components of the covariance (standardize=True: correlation) matrix, by decreasing variance.	2
MAF	Min/max autocorrelation factors: uncorrelated at lag 0 and at lag, from most to least continuous.	1
StepwiseConditional	Stepwise conditional transform: each variable normal-scored within the classes equal-probability classes of the variables before it.	3
GaussianImputer	Imputes missing variables from the variables present in the same sample and, with spatial, from nearby samples.	3
Declustering	Declustering weights (normalized to sum to n) and the declustered mean.	1
cell_declustering	Cell declustering.	43
polygon_declustering	Polygonal (nearest-neighbor area) declustering on a nodes-cell grid.	1
weight_declustering	Declustering weights from estimation weights: each sample's weight is the sum of the weights it receives when estimator estimates targets, scaled to sum to the number of samples, as in cell_declustering.	1
Trend	A trend in the coordinates, from detrend: a polynomial, or a smooth kernel average of the samples.
detrend	Fits a trend and returns it with the residuals, data minus trend.	5
Unfold	Coordinates in the frame of a layer between two surfaces.	1
correct_distribution	Realizations, or an estimate, corrected to a target distribution.	2
affine_correction	Point-to-block support correction keeping the mean: f is the variance reduction factor Var(Z_v) / Var(Z).
indirect_lognormal_correction
normal_cdf	Standard normal CDF.	1
normal_ppf	Standard normal quantile function.
GaussianMixture	Mixture of Gaussians fitted by expectation-maximization.	1
KernelDensity	Weighted Gaussian kernel density of one variable: a smooth reference distribution for NormalScore when the data are too few or too clustered to define the tails.	2