This package contains the Python code used for the paper ``Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models''. The supplementary material is given in the file ``Variational Inference in the Gaussian Process Latent Variable Model and Sparse GP Regression - Supplementary Material.pdf''. The core and most important part of the code is the partial_term

Note IMPORTANT: pomegranate v1.0.0 is a ground-up rewrite of pomegranate using PyTorch as the computational backend instead of Cython. Although the same functionality is supported, the API is significantly different. Please see the tutorials and examples folders for help rewriting your code. ReadTheDocs | Tutorials | Examples pomegranate is a library for probabilistic modeling defined by its modul