我正在尝试编写用于数据分类的代码。我尝试实现一个sigmoid函数,然后我尝试在计算成本中使用该函数。我不断得到错误,我感觉这是因为sigmoid函数。我希望sigmoid函数返回一个vector.But它不断返回标量。
function g = sigmoid(z)
%SIGMOID Compute sigmoid functoon
% J = SIGMOID(z) computes the sigmoid of z.
% You need to return the following variables correctly
g=zeros(size(z));
m=ones(size(z));
% ====================== YOUR CODE HERE ======================
% Instructions: Compute the sigmoid of each value of z (z can be a matrix,
% vector or scalar).
g=1/(m+exp(-z));
这是我的成本函数:
m = length(y); % number of training examples
% You need to return the following variables correctly
grad=(1/m)*((X*(sigmoid(X*theta)-y)));//this is the derivative in gradient descent
J=(1/m)*(-(transpose(y)*log(sigmoid((X*theta))))-(transpose(1-y)*log(sigmoid((X*theta)))));//this is the cost function
X的尺寸为100,4; of the是4,1; y是100,1。
感谢你。
错误:
Program paused. Press enter to continue.
sigmoid answer: 0.500000Error using -
Matrix dimensions must agree.
Error in costFunction (line 11)
grad=(1/m)*((X*(sigmoid(X*theta)-y)));
Error in ex2 (line 69)
[cost, grad] = costFunction(initial_theta, X, y);
答案 0 :(得分:2)
请在方法sigmoid
中将g=1/(m+exp(-z));
替换为g=1./(m+exp(-z));
z = [2,3,4;5,6,7] ;
%SIGMOID Compute sigmoid functoon
% J = SIGMOID(z) computes the sigmoid of z.
% You need to return the following variables correctly
g=zeros(size(z));
m=ones(size(z));
% ====================== YOUR CODE HERE ======================
% Instructions: Compute the sigmoid of each value of z (z can be a matrix,
% vector or scalar).
g=1./(m+exp(-z));