skdownscale.pointwise_models.QuantileMapper

class skdownscale.pointwise_models.QuantileMapper(detrend=False, lt_kwargs=None, qt_kwargs=None)

Transform features using quantile mapping.

Parameters

detrendboolean, optional

If True, detrend the data before quantile mapping and add the trend back after transforming. Default is False.

lt_kwargsdict, optional

Dictionary of keyword arguments to pass to the LinearTrendTransformer

qm_kwargsdict, optional

Dictionary of keyword arguments to pass to the QuantileMapper

Attributes

x_cdf_fit_QuantileTransformer

QuantileTranform for fit(X)

Methods

fit(X[, y])	Fit the quantile mapping model.
fit_transform(X[, y])	Fit to data, then transform it.
get_params([deep])	Get parameters for this estimator.
set_params(**params)	Set the parameters of this estimator.
transform(X)	Perform the quantile mapping.

__init__(detrend=False, lt_kwargs=None, qt_kwargs=None)

Methods

__init__([detrend, lt_kwargs, qt_kwargs])
fit(X[, y])	Fit the quantile mapping model.
fit_transform(X[, y])	Fit to data, then transform it.
get_params([deep])	Get parameters for this estimator.
set_params(**params)	Set the parameters of this estimator.
transform(X)	Perform the quantile mapping.