Factual package intelligence from PyPI
We have created a module to run the Gaussian process model. We have implemented the code based on GPyTorch.
pip install eagpytorch
PyPI declares 11 unique dependency rules for this release. Environment markers are shown when supplied by the project.
eagpytorch publishes 1 wheel and 1 source archive for version 0.1.2. Wheel platform tags: any.
Declared Python classifiers: 3.6.
PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .