Python package for highly flexible function-valued Gaussian processes (fvGP)
Project description
fvGP
Python package for highly flexible function-valued Gaussian processes (fvGP)
It is recommended to use this package via gpCAM.
Specialties: Extreme-Scale GPs, GPs Tailored for HPC training, Advanced Kernel Designs, Domain-Aware Stochastic Function Approximation Coming soon: All those advancements for stochastic manifold learning
fvGP holds the world record for exact large-scale Gaussian Processes!
Credits
This package uses the HGDL package of David Perryman and Marcus Noack, which is based on the HGDN algorithm by Noack and Funke.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file fvgp-4.5.3.tar.gz.
File metadata
- Download URL: fvgp-4.5.3.tar.gz
- Upload date:
- Size: 57.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 0271b06bd87b31bff42ce1c693c65616f726fbe5e220f4365c9bceaab5b7560c |
|
| MD5 | 7f93a25f58d8a8be933a5922ed170c17 |
|
| BLAKE2b-256 | a50812c2831459d34c6c37923bfefe236e1f6ea01c70b9ff524897db33f087de |
File details
Details for the file fvgp-4.5.3-py3-none-any.whl.
File metadata
- Download URL: fvgp-4.5.3-py3-none-any.whl
- Upload date:
- Size: 64.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | e6617afb6c7571ec25284b35ee2e2c832aee8e15cb22502dc86ca7b4d7464d9d |
|
| MD5 | c3892581ce6337d0be99bcbdb13a2c1d |
|
| BLAKE2b-256 | d449d6fb2a74835e936d1540bb59c00e084bc1e04f1e20282a5903ff3c22324a |
