(self)
return np.ones(self.data[0].shape[0], dtype=bool)
Returns a boolean array indicating which data points are considered feasible (according to the acquisition
        function(s) ) and which not.
        
        By default all data is considered feasible.
        
        :return: logical indices to the feasible data points, size N
Returns a boolean array indicating which data points are considered feasible (according to the acquisition
        function(s) ) and which not.
        
        By default all data is considered feasible.
        
        :return: logical indices to the feasible data points, size N
Returns a boolean array indicating which data points are considered feasible ( according to the acquisition function ( s ) ) and which not . By default all data is considered feasible . : return : logical indices to the feasible data points size N
def feasible_data_index(self):
        """
        Returns a boolean array indicating which data points are considered feasible (according to the acquisition
        function(s) ) and which not.
        
        By default all data is considered feasible.
        
        :return: logical indices to the feasible data points, size N
        """
        return np.ones(self.data[0].shape[0], dtype=bool)
def feasible_data_index ( self ) : return np . ones ( self . data [ 0 ] . shape [ 0 ] , dtype = bool )