| alpha | GPRegressor | |
| computeAlpha() | GPRegressor | |
| computeK() | GPRegressor | |
| computeKs(const PCRGB::Ptr &test_pc) | GPRegressor | |
| data_kd_tree | GPRegressor | |
| data_pc | GPRegressor | |
| findRegression(const PCRGB::Ptr &test_pc, VectorXd &f_mean) | GPRegressor | |
| GPRegressor() | GPRegressor | |
| importTrainingData(const PCRGB::Ptr &input_pc) | GPRegressor | |
| input_pc | GPRegressor | |
| K_dyn | GPRegressor | |
| K_inverse | GPRegressor | |
| K_sparse | GPRegressor | |
| Ks_dyn | GPRegressor | |
| Ks_sparse | GPRegressor | |
| length_scale | GPRegressor | |
| logPseudoLikelihood() | GPRegressor | |
| noise_variance | GPRegressor | |
| nonzero_inds | GPRegressor | |
| signal_variance | GPRegressor | |
| testing_size | GPRegressor | |
| training_size | GPRegressor | |
| y | GPRegressor |