# gpTorch7 # __gpTorch7__ is a framework for Gaussian Process-based machine learning implemented in Torch7. This package is currently still in an alpha-build stage; so, please feel free to pass along suggestions and/or feedback. ## Package Content ##

Directory	Content
models	Overarching model class (e.g. Gaussian processes)
kernels	Covariance functions / Noise models
means	Mean functions
scores	Acquisition functions (incl. EI, UCB)
samplers	Sampling methods (e.g. slice sampling)
examples	Demos / Benchmark Functions

## Developers' Notes ## Please be sure to grab an updated copy of Torch7 prior to using gpTorch7, as the package relies on newer functions (e.g. torch.potrf/s).

Further documentation coming soon.