jens
7b34529b24
git-svn-id: http://moon:8086/svn/matlab/trunk@91 801c6759-fa7c-4059-a304-17956f83a07c
25 lines
795 B
Matlab
25 lines
795 B
Matlab
function [f,g] = logistic_regression(theta, X,y)
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%
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% Arguments:
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% theta - A column vector containing the parameter values to optimize.
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% X - The examples stored in a matrix.
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% X(i,j) is the i'th coordinate of the j'th example.
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% y - The label for each example. y(j) is the j'th example's label.
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%
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m=size(X,2);
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% initialize objective value and gradient.
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f = 0;
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g = zeros(size(theta));
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%
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% TODO: Compute the objective function by looping over the dataset and summing
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% up the objective values for each example. Store the result in 'f'.
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%
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% TODO: Compute the gradient of the objective by looping over the dataset and summing
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% up the gradients (df/dtheta) for each example. Store the result in 'g'.
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%
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%%% YOUR CODE HERE %%%
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