StatsForecast

Fill in a module description here

Run StatsForecast Models

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source

SF_test

 SF_test (path:str, splt_date:str, model:list, dimension:str=None,
          date_col:str='ds', metric_col:str='y', filters:list[dict]=None,
          crnt_frmt=None, hrz:int=7, freq:str='D',
          cross_validate:bool=False, cv_periods:int=0, anom_level:int=80,
          fruitful:bool=False, publish_fn:Callable=None, **kwargs)

Run Model(s) from StatsForecast

	Type	Default	Details
path	str		Path of feather file
splt_date	str		Date to split data
model	list		Models to use
dimension	str	None	dimension of test
date_col	str	ds	Independant Variable
metric_col	str	y	Dependend Variable
filters	list	None
crnt_frmt	NoneType	None	Format of Date Column
hrz	int	7	Test Horizon
freq	str	D	Data frequency
cross_validate	bool	False
cv_periods	int	0
anom_level	int	80
fruitful	bool	False
publish_fn	typing.Callable	None
kwargs