A comprehensive evaluation metric designed to measure the weighted similarity score by prioritizing semantic capture while also considering lexical alignment.
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
SEMALEX-0.1.0.tar.gz
(2.8 kB
view details)
Built Distribution
File details
Details for the file SEMALEX-0.1.0.tar.gz.
File metadata
- Download URL: SEMALEX-0.1.0.tar.gz
- Upload date:
- Size: 2.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | a02dce01e4be66c3006cbb6c2fab342ce5ae108f12e2462b7ed9034ec815d0fb |
|
| MD5 | 6742094054fe9b0a005e0359a6434741 |
|
| BLAKE2b-256 | 1a4ce6ad30e883cc9d81680b80e9182ba4ac1103cb6ca8cb85148511e07c94d9 |
File details
Details for the file SEMALEX-0.1.0-py3-none-any.whl.
File metadata
- Download URL: SEMALEX-0.1.0-py3-none-any.whl
- Upload date:
- Size: 3.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 1486856f55112f94d2f2f35df754f4c6b9f23ca030caf79eaf39e6a672284af6 |
|
| MD5 | 5dc3dad6b44b97a994ebebc41f0b5f4e |
|
| BLAKE2b-256 | cb9d022c7a509d2f38f6a7001d272f13737b7c85276680f13773a8125e823f4e |
