Update README with new examples
@@ -9,10 +9,13 @@ This package is currently under development, and is likely to change.
Some things you can do right now:
- Simple GP regression ([example here](https://nbviewer.jupyter.org/github/jrg365/gpytorch/blob/master/examples/simple_gp_regression.ipynb))
-- Simple GP classification ([example here](https://nbviewer.jupyter.org/github/jrg365/gpytorch/blob/variational_inference/examples/simple_gp_classification.ipynb))
+- Simple GP classification ([example here](https://nbviewer.jupyter.org/github/jrg365/gpytorch/blob/master/examples/simple_gp_classification.ipynb))
- Multitask GP regression ([example here](https://nbviewer.jupyter.org/github/jrg365/gpytorch/blob/master/examples/multitask_gp_regression.ipynb))
- Extrapolation using the spectral mixture kernel ([example here](https://nbviewer.jupyter.org/github/jrg365/gpytorch/blob/master/examples/spectral_mixture_gp_regression.ipynb))
- Scalable GP regression using kernel interpolation ([example here](https://nbviewer.jupyter.org/github/jrg365/gpytorch/blob/master/examples/kissgp_gp_regression.ipynb))
+- Scalable GP classification using kernel interpolation ([example here](https://nbviewer.jupyter.org/github/jrg365/gpytorch/blob/master/examples/kissgp_gp_classification.ipynb))
+- Scalable GP regression in multiple dimensions ([example here](https://nbviewer.jupyter.org/github/jrg365/gpytorch/blob/master/examples/kissgp_kronecker_product_regression.ipynb))
+- Scalable GP classification in multiple dimensions ([example here](https://nbviewer.jupyter.org/github/jrg365/gpytorch/blob/master/examples/kissgp_kronecker_product_classification.ipynb))
## Installation
Make sure you have PyTorch (>= 0.2.0) installed.
