10601-hws/HW 4/handout/python/LogReg.py
def sigmoid(self, Z):
        '''
        Computes the Sigmoid Function  
        Arguments:
            A n-by-1 dimensional numpy matrix
        Returns:
            A n-by-1 dimensional numpy matrix
       
        '''

        denominator = 1+np.exp(-Z)
        sigmoid = 1/denominator
        
        return sigmoid

        Computes the Sigmoid Function  
        Arguments:
            A n-by-1 dimensional numpy matrix
        Returns:
            A n-by-1 dimensional numpy matrix
       
        
Computes the Sigmoid Function
Arguments:
A n-by-1 dimensional numpy matrix
Returns:
A n-by-1 dimensional numpy matrix
Computes the Sigmoid Function Arguments : A n - by - 1 dimensional numpy matrix Returns : A n - by - 1 dimensional numpy matrix
def sigmoid(self, Z):
        denominator = 1+np.exp(-Z)
        sigmoid = 1/denominator
        return sigmoid
def sigmoid ( self , Z ) : denominator = 1 + np . exp ( - Z ) sigmoid = 1 / denominator return sigmoid
Computes the Sigmoid Function
Arguments:
A n-by-1 dimensional numpy matrix
Returns:
A n-by-1 dimensional numpy matrix
Computes the Sigmoid Function Arguments : A n - by - 1 dimensional numpy matrix Returns : A n - by - 1 dimensional numpy matrix
'''
        Computes the Sigmoid Function  
        Arguments:
            A n-by-1 dimensional numpy matrix
        Returns:
            A n-by-1 dimensional numpy matrix
       
        '''
self
Z