Gradient-booseted classifiers to predict the feasibility of enzymatic reactions
Project description
The author of this package has not provided a project description
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-1.0.tar.gz
(23.9 kB
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
DORA_XGB-1.0-py3-none-any.whl
(24.4 kB
view details)
File details
Details for the file dora_xgb-1.0.tar.gz.
File metadata
- Download URL: dora_xgb-1.0.tar.gz
- Upload date:
- Size: 23.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.8.19
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
48b29c4e18c44dac0a7550ecd7b321b4ceaca0157a4dcf1e36d85bbe0d4ed071
|
|
| MD5 |
fa0fbdb763e68f6e129d0d2ce193086d
|
|
| BLAKE2b-256 |
4cd50353b9de3023921996e9b9d7f85bf320f38531836ac78da4ea82876e3927
|
File details
Details for the file DORA_XGB-1.0-py3-none-any.whl.
File metadata
- Download URL: DORA_XGB-1.0-py3-none-any.whl
- Upload date:
- Size: 24.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.8.19
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a43a354d2d20218cf7dd65759ba5791e94a6cd40f0542d6982efda8ca596b5c7
|
|
| MD5 |
3f8b21e0ac58467b4480cdc8faab7398
|
|
| BLAKE2b-256 |
6c8614545260392632a05722555b2d4eb075ac4fbe6bb8c1ec639c612f8c55e5
|
