Data class

class Data(self, algorithm: str, transformer: <built-in function any>)

Data preprocessing parent class {abstract} - parent class object

Parameters	algorithmstr name of the used algorithm transformertransformer instance transformer instance (e.g. StandardScaler)
Attributes	algorithmstr name of the used algorithm transformertransformer instance transformer instance (e.g. StandardScaler)

Methods

Method	Description
`_changed_parameters`	Returns
`get_params`	Function to get the parameter from the transformer instance
`params`	Function to get the possible/recommended parameter values for the class
`set_params`	Function to set the parameter of the transformer instance

Data._changed_parameters(): Returns

dictionary of model parameter that are different from default values

Data.get_params(deep: bool = True) → dict

Function to get the parameter from the transformer instance

deepbool, default=True: If True, will return the parameters for this estimator and contained sub-objects that are estimators

abstract static Data.params() → dict

Function to get the possible/recommended parameter values for the class

Data.set_params(**params)

Function to set the parameter of the transformer instance