olpy/classifiers/ogd.py
def _setup(self, X):
        """Initializes the values for the model' parameters.

        Based on the data in argument, this method initializes 
        the parameters `t` (number of iterations).

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

        Returns:
            None
        """
        self._t = 1
Initializes the values for the model' parameters.

        Based on the data in argument, this method initializes 
        the parameters `t` (number of iterations).

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

        Returns:
            None
        
Initializes the values for the model' parameters.
Based on the data in argument, this method initializes
the parameters `t` (number of iterations).
Initializes the values for the model ' parameters . Based on the data in argument this method initializes the parameters ` t ` ( number of iterations ) .
def _setup(self, X):
        self._t = 1
def _setup ( self , X ) : self . _t = 1
Initializes the values for the model' parameters.
Initializes the values for the model ' parameters .
"""Initializes the values for the model' parameters.

        Based on the data in argument, this method initializes 
        the parameters `t` (number of iterations).

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

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