comparative embedding visualization
Project description
cev
setup
conda env create --file environment.yml
conda activate cev
pip install -e .
release
releases are triggered via tagged commits
git tag -a vX.X.X -m "vX.X.X"
git push --follow-tags
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
cev-0.0.0.tar.gz
(5.7 MB
view details)
Built Distribution
cev-0.0.0-py3-none-any.whl
(28.5 kB
view details)
File details
Details for the file cev-0.0.0.tar.gz
.
File metadata
- Download URL: cev-0.0.0.tar.gz
- Upload date:
- Size: 5.7 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: python-httpx/0.23.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b3b935aac449dba17600a0c6805349743ba3fddcf66a5d9abcdb118fcd6e950c |
|
MD5 | 8e57b61962695eb0ae3289d0f072146f |
|
BLAKE2b-256 | 35c8b8b4150007aae26e63517099d676efb88e00c2b27a76b1642bacfd205c6d |
File details
Details for the file cev-0.0.0-py3-none-any.whl
.
File metadata
- Download URL: cev-0.0.0-py3-none-any.whl
- Upload date:
- Size: 28.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: python-httpx/0.23.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 09fcbb000804cc13da64d987e1c7f77a1c8a3a635657970e1ea2d3f359b66d6e |
|
MD5 | 054dc93e8123959b3d8da09313db3e98 |
|
BLAKE2b-256 | 5343763611634ee3c61c2a53a692fb43931543ea5c05473951f79bda9d192cfa |