skdownscale.pointwise_models.BcsdTemperature¶

class skdownscale.pointwise_models.BcsdTemperature(time_grouper=<function MONTH_GROUPER>, climate_trend_grouper=<function DAY_GROUPER>, climate_trend=<function MONTH_GROUPER>, return_anoms=True, qm_kwargs=None)[source]¶

Bases: BcsdBase

__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 BcsdTemperature model
`get_metadata_routing`()	Get metadata routing of this object.
`get_params`([deep])	Get parameters for this estimator.
`predict`(X)	Predict using the BcsdTemperature model
`set_params`(**params)	Set the parameters of this estimator.

fit(X, y)[source]¶

Fit BcsdTemperature model

Parameters:

X (pd.Series or pd.DataFrame, shape (n_samples, 1)) – Training data
y (pd.Series or pd.DataFrame, shape (n_samples, 1)) – Target values.

Returns:

self (returns an instance of self.)

predict(X)[source]¶

Predict using the BcsdTemperature model

Parameters:: X (DataFrame, shape (n_samples, 1)) – Samples.
Returns:: C (pd.DataFrame, shape (n_samples, 1)) – Returns predicted values.