Bayesian Hessian Approximation for Stochastic Optimization
Project description
We use Bayesian inference to approximate the Hessian of a function given noisy observations of its gradient. This package can be used in combination with MICE.
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
bayhess-0.1.1.tar.gz
(22.5 kB
view details)
Built Distribution
bayhess-0.1.1-py3-none-any.whl
(22.5 kB
view details)
File details
Details for the file bayhess-0.1.1.tar.gz.
File metadata
- Download URL: bayhess-0.1.1.tar.gz
- Upload date:
- Size: 22.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | e11d48ad6ea095c532addecdb6fed6d6f2889995375da57a29d5119768fb3cdc |
|
| MD5 | c7ef49c3f716a616ea67b44089b3c932 |
|
| BLAKE2b-256 | c3ecfcc473404e418e0c08748fd5fe07d24773e70acf29f59091adb8f487a529 |
File details
Details for the file bayhess-0.1.1-py3-none-any.whl.
File metadata
- Download URL: bayhess-0.1.1-py3-none-any.whl
- Upload date:
- Size: 22.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | ff1e3a9321dbd06b22e60d7500ca872459446b6a8dc25b644fff366421fd56f0 |
|
| MD5 | f5a3c22e37fed06ddb394cca8aaba832 |
|
| BLAKE2b-256 | f8e9786f17cae23aa14fc46f21e923fe059dae8c995fbe5821343456a5bab8ba |
