Dataset

A simple adaptor class to make the data in required format that can be easily consumed and processd by the models.

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Data

 Data (df:pandas.core.frame.DataFrame, reduce_datatype:bool=True,
       encode_category:str=None, add_intercept:bool=False,
       na_treatment:str='allow', copy_data:bool=False, digits:int=None,
       n_category:Union[int,float,NoneType]=None)

Dataset Adaptor Class

This class is meant to make dataset possible which would be consumed by models further

	Type	Default	Details
df	DataFrame		Dataframe that needs to be converted
reduce_datatype	bool	True	Shall we try to reduce datatype to make is smaller
encode_category	str	None	Do encoding of categories default to None as no encoding
add_intercept	bool	False	Add a constant value intercept to data. This might be needed for Model based Trees.
na_treatment	str	allow	How to work with nas. Default: ‘allow’
copy_data	bool	False	Keep a self copy of original data
digits	int	None	To round float to certain digits or not, Default: None means no rounding
n_category	Union	None	How many different level shoud be treated as category. If a value less than one the number of levels is defined aas % oft total rows
Returns	None

How to work on data

Please refer Examples