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Removed unused variables.

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This commit is contained in:
Abe Friesen 2015-11-02 17:17:35 -08:00
parent dc1b01e002
commit db78fcd11a
1 changed files with 4 additions and 11 deletions
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15
modules/ml/src/lr.cpp
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@ -355,9 +355,6 @@ double LogisticRegressionImpl::compute_cost(const Mat& _data, const Mat& _labels
log(d_b, d_b);
multiply(d_b, 1-_labels, d_b);
double sda = sum(d_a)[0];
double sdb = sum(d_b)[0];
cost = (-1.0/m) * (sum(d_a)[0] + sum(d_b)[0]);
cost = cost + rparameter;
@ -410,12 +407,10 @@ Mat LogisticRegressionImpl::batch_gradient_descent(const Mat& _data, const Mat&
}
int llambda = 0;
double ccost;
int m, n;
int m;
Mat theta_p = _init_theta.clone();
Mat gradient( theta_p.rows, theta_p.cols, theta_p.type() );
m = _data.rows;
n = _data.cols;
if (params.norm != REG_DISABLE)
{
@ -425,7 +420,7 @@ Mat LogisticRegressionImpl::batch_gradient_descent(const Mat& _data, const Mat&
for(int i = 0;i<this->params.num_iters;i++)
{
// this seems to only be called to ensure that cost is not NaN
ccost = compute_cost(_data, _labels, theta_p);
compute_cost(_data, _labels, theta_p);
compute_gradient( _data, _labels, theta_p, llambda, gradient );
@ -438,8 +433,7 @@ Mat LogisticRegressionImpl::mini_batch_gradient_descent(const Mat& _data, const
{
// implements batch gradient descent
int lambda_l = 0;
double ccost;
int m, n;
int m;
int j = 0;
int size_b = this->params.mini_batch_size;
@ -477,10 +471,9 @@ Mat LogisticRegressionImpl::mini_batch_gradient_descent(const Mat& _data, const
}
m = data_d.rows;
n = data_d.cols;
// this seems to only be called to ensure that cost is not NaN
ccost = compute_cost(data_d, labels_l, theta_p);
compute_cost(data_d, labels_l, theta_p);
compute_gradient(data_d, labels_l, theta_p, lambda_l, gradient);