| ComputeError(const arma::Mat< T > &inputs, const arma::Row< T > &labels) const | algo::regression::GaussianProcess< K, T > | |
| GaussianProcess(const Ts &... args) | algo::regression::GaussianProcess< K, T > | inline |
| GaussianProcess(const arma::Mat< T > &inputs, const arma::Row< T > &labels, const T lambda, const Ts &... args) | algo::regression::GaussianProcess< K, T > | |
| GaussianProcess(const arma::Mat< T > &inputs, const arma::Row< T > &labels) | algo::regression::GaussianProcess< K, T > | |
| Lambda(const T &lambda) | algo::regression::GaussianProcess< K, T > | inline |
| LogLikelihood(const arma::Mat< T > &inputs, const arma::Row< T > &labels) const | algo::regression::GaussianProcess< K, T > | |
| Parameters() const | algo::regression::GaussianProcess< K, T > | inline |
| Parameters() (defined in algo::regression::GaussianProcess< K, T >) | algo::regression::GaussianProcess< K, T > | inline |
| Predict(const arma::Mat< T > &inputs, arma::Row< T > &labels) const | algo::regression::GaussianProcess< K, T > | |
| PredictVariance(const arma::Mat< T > &inputs, arma::Mat< T > &labels) | algo::regression::GaussianProcess< K, T > | |
| SamplePosterior(const size_t k, const arma::Mat< T > &inputs, arma::Mat< T > &labels) | algo::regression::GaussianProcess< K, T > | |
| SamplePrior(const size_t k, const arma::Mat< T > &inputs, arma::Mat< T > &labels) const | algo::regression::GaussianProcess< K, T > | |
| serialize(Archive &ar, const unsigned int) | algo::regression::GaussianProcess< K, T > | inline |
| Train(const arma::Mat< T > &inputs, const arma::Row< T > &labels) | algo::regression::GaussianProcess< K, T > | |