# 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.