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)
Project details
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-0.0.23.tar.gz
(19.1 kB
view hashes)
Built Distribution
Close
Hashes for history_matching-0.0.23-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8ae5a5d691f9e7485948b2cfb6871388fd0ee95dbb53c100a98e8c1a75a4103d |
|
MD5 | acf31327f2b50897e9b4c14f4cdba12b |
|
BLAKE2b-256 | 293a72ba7fddceeb8ff856e899b069e8a73a5f01da82e1ccbccd5895572df9e2 |