sforecast.endogenous_transforms

Classes

rolling_transformer

Module Contents

class sforecast.endogenous_transforms.rolling_transformer

Bases: sklearn.base.BaseEstimator, sklearn.base.TransformerMixin

variable_transform_dict: dict[str:Callable]

Nrw: int = 3

dfmemory: pandas.DataFrame

__post_init__()

fit(df)

transform(df: pandas.DataFrame, Nout: int | None = None, dfnewrows: pandas.DataFrame = pd.DataFrame()) → pandas.DataFrame

get_Nclip()

get_derived_attribute_names()