include Directory Reference

Directory dependency graph for include:

Directories

Files
file	bopt_state.hpp [code]
	Representation of a optimization state.
file	conditionalbayesprocess.hpp [code]
	Kernel based nonparametric process, conditional on kernel hyperparameters.
file	criteria_functors.hpp [code]
	Abstract and factory modules for criteria.
file	dataset.hpp [code]
	Dataset model.
file	gauss_distribution.hpp [code]
	Gaussian probability distribution.
file	gaussian_process.hpp [code]
	Standard zero mean gaussian process with noisy observations.
file	gaussian_process_hierarchical.hpp [code]
	Hierarchical model for Gaussian process.
file	gaussian_process_ml.hpp [code]
	Gaussian process with ML parameters.
file	gaussian_process_normal.hpp [code]
	Gaussian process with normal prior on the parameters.
file	inneroptimization.hpp [code]
	C++ wrapper of the NLOPT library.
file	kernel_functors.hpp [code]
	Kernel (covariance) functions.
file	kernelregressor.hpp [code]
	Nonparametric process abstract module.
file	mcmc_sampler.hpp [code]
	Markov Chain Monte Carlo algorithms.
file	mean_atomic.hpp [code]
	Atomic (simple) parametric functions.
file	mean_combined.hpp [code]
	Parametric functions that combine other functions.
file	mean_functors.hpp [code]
	Mean (parametric) functions.
file	nonparametricprocess.hpp [code]
	Abstract module for a Bayesian regressor.
file	optimizable.hpp [code]
	Abstract class for optimizable objects.
file	posterior_fixed.hpp [code]
	Posterior model based on fixed kernel parameters.
file	posterior_mcmc.hpp [code]
	Posterior distribution on GPs based on MCMC over kernel parameters.
file	posteriormodel.hpp [code]
	Abstract interface for posterior model/criteria.
file	prob_distribution.hpp [code]
	Interface for probability models.
file	randgen.hpp [code]
	Boost types for random number generation.
file	specialtypes.hpp [code]
	Boost vector and matrix types.
file	student_t_distribution.hpp [code]
	Student's t probability distribution.
file	student_t_process_jef.hpp [code]
	Student T process with Jeffreys priors.
file	student_t_process_nig.hpp [code]
	Student's t process with Normal-Inverse-Gamma hyperprior on mean and signal variance parameters.