skdownscale.pointwise_models.BcsdPrecipitation

class skdownscale.pointwise_models.BcsdPrecipitation(time_grouper=<function MONTH_GROUPER>, climate_trend_grouper=<function DAY_GROUPER>, climate_trend=<function MONTH_GROUPER>, return_anoms=True, qm_kwargs=None)

Classic BCSD model for Precipitation

Parameters

time_grouperstr or pd.Grouper, optional

Pandas time frequency str or Grouper object. Specifies how to group time periods. Default is ‘M’ (e.g. Monthly).

qm_kwargsdict

Keyword arguments to pass to QuantileMapper.

Attributes

time_grouperpd.Grouper

Linear Regression object.

quantile_mappers_dict

QuantileMapper objects (one for each time group).

Methods

fit(X, y)	Fit BcsdPrecipitation model
get_params([deep])	Get parameters for this estimator.
predict(X)	Predict using the BcsdPrecipitation model
set_params(**params)	Set the parameters of this estimator.

__init__(time_grouper=<function MONTH_GROUPER>, climate_trend_grouper=<function DAY_GROUPER>, climate_trend=<function MONTH_GROUPER>, return_anoms=True, qm_kwargs=None)

Methods

__init__([time_grouper, ...])
fit(X, y)	Fit BcsdPrecipitation model
get_params([deep])	Get parameters for this estimator.
predict(X)	Predict using the BcsdPrecipitation model
set_params(**params)	Set the parameters of this estimator.