olpy/classifiers/__base.py
def _setup(self, X: np.ndarray):
        """Perform model's specific initialization steps.

        This methods performs a series of initialization that cannot
        be done properly in the constructor. It is implemented 
        differently depending on the model.

        Args:
            X (:obj:`numpy.ndarray`): Input data with n rows and
                m columns

        Returns:
            None
        """
        return NotImplemented
Perform model's specific initialization steps.

        This methods performs a series of initialization that cannot
        be done properly in the constructor. It is implemented 
        differently depending on the model.

        Args:
            X (:obj:`numpy.ndarray`): Input data with n rows and
                m columns

        Returns:
            None
        
Perform model's specific initialization steps.
This methods performs a series of initialization that cannot
be done properly in the constructor. It is implemented
differently depending on the model.
Perform model ' s specific initialization steps . This methods performs a series of initialization that cannot be done properly in the constructor . It is implemented differently depending on the model .
def _setup(self, X: np.ndarray):
        return NotImplemented
def _setup ( self , X : np . ndarray ) : return NotImplemented
Perform model's specific initialization steps.
Perform model ' s specific initialization steps .
"""Perform model's specific initialization steps.

        This methods performs a series of initialization that cannot
        be done properly in the constructor. It is implemented 
        differently depending on the model.

        Args:
            X (:obj:`numpy.ndarray`): Input data with n rows and
                m columns

        Returns:
            None
        """
None
self
X
np.ndarray
X (
`numpy.ndarray`): Input data with n rows and
m columns
` numpy . ndarray ` ) : Input data with n rows and m columns