Gradient-booseted classifiers to predict the feasibility of enzymatic reactions
Project description
The author of this package has not provided a project description
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
DORA_XGB-1.9.tar.gz
(6.2 MB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file DORA_XGB-1.9.tar.gz.
File metadata
- Download URL: DORA_XGB-1.9.tar.gz
- Upload date:
- Size: 6.2 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.8.19
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4f9d8e03abc4ec8beea2afbb15222c49d17736ab78d2c68e5b7d2f60680256de
|
|
| MD5 |
bb843c152f800568db9e555c802490e3
|
|
| BLAKE2b-256 |
b13c8bc2d1b9454a8505d770f18a905b67904a10445a17cac02758dc0964a21c
|
File details
Details for the file DORA_XGB-1.9-py3-none-any.whl.
File metadata
- Download URL: DORA_XGB-1.9-py3-none-any.whl
- Upload date:
- Size: 6.3 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.8.19
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
efdf33511661cddb962aea5959208837d4311f959a82a90c16b16365b37edcbe
|
|
| MD5 |
6d5252e5dd3c0827ffff7626f806789e
|
|
| BLAKE2b-256 |
0151947f87fe9b05ef27c1112ba3b3546ba7662df568461f545c6a409ea19284
|