Library to facilitate simple Verification, Validation and Uncertainty Quantification of simulation codes
Project description
EasyVVUQ
The aim of this library is to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.
The easiest way to get started is to follow the example outlined in this Google Colaboratory.
Development was funded by the EU Horizon 2020 project VECMA.
Requirements
To use the library you will need Python 3.6+.
Installation using pip
If you are unsure of the version of python your default pip
works for type:
pip --version
If the output ends with (python 2.7)
you should replace pip
with pip3
in the following commands.
The following should fully install the library:
pip install easyvvuq
To upgrade the library use:
pip install easyvvuq --upgrade
Manual installation from repository
Alternatively, you can manually install EasyVVUQ. First clone the repository to your computer:
git clone https://github.com/UCL-CCS/EasyVVUQ.git
Note: As above, you need to be sure you are installing for Python 3 - if necessary replace pip
with pip3
and python
with python3
in the commands below.
We are trying to keep dependencies at a minimum but a few are inevitable, to install them use:
cd EasyVVUQ/
pip install -r requirements.txt
Then the library can be installed using:
python setup.py install
Getting Started
Documentation, including a basic tutorial, is avalable here.
Citing EasyVVUQ
Richardson, R A, Wright, D W, Edeling, W, Jancauskas, V, Lakhlili, J and Coveney, P V. 2020 EasyVVUQ: A Library for Verification, Validation and Uncertainty Quantification in High Performance Computing. Journal of Open Research Software, 8: 11. DOI: 10.5334/jors.303.
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
Built Distribution
File details
Details for the file easyvvuq-0.5.2.14.tar.gz
.
File metadata
- Download URL: easyvvuq-0.5.2.14.tar.gz
- Upload date:
- Size: 70.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7e344bf1e4c37fc3f70ce52e36556aa0699a5ce68c2815959ce4f55a74f7b62e |
|
MD5 | 0b09a9a86cc694f5a98b4f0499330ef5 |
|
BLAKE2b-256 | f60036b522e76358e9e2d2c87b503c85ba22966a2f9fac4c9b7cb0f16da12969 |
File details
Details for the file easyvvuq-0.5.2.14-py3-none-any.whl
.
File metadata
- Download URL: easyvvuq-0.5.2.14-py3-none-any.whl
- Upload date:
- Size: 114.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5a8afb2a6d5dd5885f701b950b12335333a29ccaa15dee24e584fc4188a0cc78 |
|
MD5 | d3bca183774227e33f7b3147043bb49b |
|
BLAKE2b-256 | ddbf367173e40b72a0dec103e799521fa66334484d34333d1849c998124406d2 |