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,然后我尝试使用该函数来计算成本。我不断收到错误,我感觉这是因为 sigmoid 函数。我希望 sigmoid 函数返回一个向量。但是它不断返回一个标量。
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的维度是100,4;theta 的值为 4,1;y 为 100,1。
谢谢你。
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);