A library of algorithms for reproducing Knowledge Tracing, Cognitive Diagnosis, and Exercise Recommendation models.
Project description
PyEdmine is a library of algorithms for reproducing Knowledge Tracing, Cognitive Diagnosis, and Exercise Recommendation models. View PyEdmine homepage for more information.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
edmine-0.1.0.tar.gz
(93.5 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
edmine-0.1.0-py3-none-any.whl
(129.0 kB
view details)
File details
Details for the file edmine-0.1.0.tar.gz.
File metadata
- Download URL: edmine-0.1.0.tar.gz
- Upload date:
- Size: 93.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.1.1 CPython/3.9.20 Darwin/23.6.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
45fba3a87ba5d9b93599cf658cd17df6104c0966beb5e29f5905afc3cdd486c7
|
|
| MD5 |
7ef9f04e58d3c6646bec6397e0086462
|
|
| BLAKE2b-256 |
d7cf0b8302aba9012aee35b5ba27358cf8465093426b35b27024c9024eaaa292
|
File details
Details for the file edmine-0.1.0-py3-none-any.whl.
File metadata
- Download URL: edmine-0.1.0-py3-none-any.whl
- Upload date:
- Size: 129.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.1.1 CPython/3.9.20 Darwin/23.6.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3cfe1d07e3638c0d7583650ae3074b5253bf30d915bb14204dd313bb174b0c6a
|
|
| MD5 |
5c87e6740c6ee544a58d16dd15ec8e76
|
|
| BLAKE2b-256 |
6c7e578d9d8e8adb18bf15b2d29218958957837bd6b54bc03411b3ecd7b42d68
|
