skdownscale.pointwise_models.QuantileMappingReressor

class skdownscale.pointwise_models.QuantileMappingReressor(extrapolate=None, n_endpoints=10)

Transform features using quantile mapping.

Parameters

extrapolatestr, optional

How to extend the cdfs at the tails. Valid options include {‘min’, ‘max’, ‘both’, ‘1to1’, None}

n_endpointsint

Number of endpoints to include when extrapolating the tails of the cdf

Attributes

_X_cdfCdf

NamedTuple representing the fit’s X cdf

_y_cdfCdf

NamedTuple representing the fit’s y cdf

Methods

fit(X, y, **kwargs)	Fit the quantile mapping regression model.
get_params([deep])	Get parameters for this estimator.
predict(X, **kwargs)	Predict regression for target X.
score(X, y[, sample_weight])	Return the coefficient of determination of the prediction.
set_params(**params)	Set the parameters of this estimator.

__init__(extrapolate=None, n_endpoints=10)

Methods

__init__([extrapolate, n_endpoints])
fit(X, y, **kwargs)	Fit the quantile mapping regression model.
get_params([deep])	Get parameters for this estimator.
predict(X, **kwargs)	Predict regression for target X.
score(X, y[, sample_weight])	Return the coefficient of determination of the prediction.
set_params(**params)	Set the parameters of this estimator.