Multi-objective optimization of chemical processes with automated machine learning model selection
Project description
#nemo
Multi-objective optimization of chemical processes with automated machine learning model selection
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
nemo-bo-0.1.3.tar.gz
(54.9 kB
view details)
Built Distribution
nemo_bo-0.1.3-py3-none-any.whl
(81.6 kB
view details)
File details
Details for the file nemo-bo-0.1.3.tar.gz
.
File metadata
- Download URL: nemo-bo-0.1.3.tar.gz
- Upload date:
- Size: 54.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.1.13 CPython/3.10.4 Windows/10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 11a8bf71c395461fd39b87c97863861e551372b648ea0a860cdd73ef4eee7dc1 |
|
MD5 | 992dfa3dd88462360de1a3fe354277bd |
|
BLAKE2b-256 | 40adec75976c5a8de36967d0f3188f8b4682072dd820f34dd45fdde503815a02 |
File details
Details for the file nemo_bo-0.1.3-py3-none-any.whl
.
File metadata
- Download URL: nemo_bo-0.1.3-py3-none-any.whl
- Upload date:
- Size: 81.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.1.13 CPython/3.10.4 Windows/10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1314a94b7a6e3c0e4c112db10373b0eae4dafec6c5b568fec3c52dc8219cc496 |
|
MD5 | 7a64b999b34e13523fed62952f95c4bf |
|
BLAKE2b-256 | 476ee96c980b310470eed81e70792ed9c3601063e6cf0a900fa55de6ddb56bf9 |