Searched refs:num_observations (Results 1 – 10 of 10) sorted by relevance
98 const float num_observations = static_cast<float>(x.rows());99 const RowVectorXf x_mean = x.colwise().sum() / num_observations;100 const RowVectorXf y_mean = y.colwise().sum() / num_observations;101 C = (x.rowwise() - x_mean).transpose() * (y.rowwise() - y_mean) / num_observations;118 const float num_observations = static_cast<float>(x.rows());119 const RowVectorXf x_mean = x.colwise().sum() / num_observations;120 const RowVectorXf y_mean = y.colwise().sum() / num_observations;121 return (x.rowwise() - x_mean).transpose() * (y.rowwise() - y_mean) / num_observations;141 const float num_observations = static_cast<float>(x.rows());142 const RowVectorXf x_mean = x.colwise().sum() / num_observations;[all …]
39 int num_observations = 67; variable144 for (int i = 0; i < num_observations; ++i) { in TEST()198 for (int i = 0; i < num_observations; ++i) { in TEST()
338 int num_observations() const { return num_observations_; } in num_observations() function in ceres::internal::BundleAdjustmentProblem386 for (int i = 0; i < num_observations(); ++i) { in BuildProblem()
404 const int num_observations = kY.rows(); in main() local405 VectorXd t(num_observations); in main()406 for (int i = 0; i < num_observations; ++i) { in main()419 for (int i = 0; i < num_observations; ++i) { in main()
52 int num_observations = 67; variable168 for (i = 0; i < num_observations; ++i) { in main()
55 int num_observations() const { return num_observations_; } in num_observations() function in BALProblem193 for (int i = 0; i < bal_problem.num_observations(); ++i) { in main()
71 int num_observations() const { return num_observations_; } in num_observations() function
236 int num_observations() const { return predictor_.rows(); } in num_observations() function in ceres::examples::NISTProblem426 for (int i = 0; i < nist_problem.num_observations(); ++i) { in RegressionDriver()
261 for (int i = 0; i < bal_problem->num_observations(); ++i) { in BuildProblem()
694 for (int i = 0; i < bal_problem.num_observations(); ++i) {