FukuML/LogisticRegression.py
def error_function(self, x, y, W):
        # need refector

        '''
        Error function to calculate error: cross entropy error
        '''

        error = np.log(1 + np.exp((-1) * y * np.inner(x, W)))

        return error
def error_function(self, x, y, W):
        # need refector

        '''
        Error function to calculate error: cross entropy error
        '''

        error = np.log(1 + np.exp((-1) * y * np.inner(x, W)))

        return error
def error_function ( self , x , y , W ) : # need refector error = np . log ( 1 + np . exp ( ( - 1 ) * y * np . inner ( x , W ) ) ) return error
Error function to calculate error: cross entropy error
Error function to calculate error : cross entropy error