Package contains helper modules for using history matching for parameter optimzation.
Project description
History Matching (Core)
Core package for Bayesian History Matching. Generic as possible implementation built upon scikit-learn Gaussian Process Regression layer for the emulation.
Implements helper functions and classes for conducting history matching runs, handling different sampling spaces.
Developed by Robert King (robcking@stanford.edu)
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
history_matching-0.0.11.tar.gz
(18.4 kB
view details)
Built Distribution
File details
Details for the file history_matching-0.0.11.tar.gz.
File metadata
- Download URL: history_matching-0.0.11.tar.gz
- Upload date:
- Size: 18.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f65c49d69794d445808c1ca0f66997658be7b343873c1e0e7cea4acd55bc479e |
|
| MD5 | fa001db6da428b6b15ac723669219eaa |
|
| BLAKE2b-256 | c993ca711c768a86d80a7d71d35e01b290fc5c7343e02cbedab3b9491e5ce955 |
File details
Details for the file history_matching-0.0.11-py3-none-any.whl.
File metadata
- Download URL: history_matching-0.0.11-py3-none-any.whl
- Upload date:
- Size: 19.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f5d4d80047dedbecfa10e76b6c79c42727d5658c1df8608134d4fa51c3c54aae |
|
| MD5 | d63af98865df53b8a0a0052c4a2fa092 |
|
| BLAKE2b-256 | 3cb6f874fac23f5f2300e8059c1396081a517f6b50778045bae06ad2dd7a764b |
