Detection Of Learning Obstacles via Risk-aware Interaction Signals
Project description
Doloris
中山大学 2025 年《模式识别》大作业。
组员：许睿林、傅小桐。
Doloris：Detection Of Learning Obstacles via Risk-aware Interaction Signals.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
doloris-0.0.1.tar.gz
(2.6 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
File details
Details for the file doloris-0.0.1.tar.gz.
File metadata
- Download URL: doloris-0.0.1.tar.gz
- Upload date:
- Size: 2.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.7.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ca829fc24bc0b7fc4ec1d3cd987551ea3e96b16e1cac46e266677f21bb49b095
|
|
| MD5 |
e5fa3b0f565b67b37be9f6629cbe360b
|
|
| BLAKE2b-256 |
06cb62dece938b6aceb03b47d30eeafccca67d88fc3d2dddc2dd4172ea3f1da3
|
File details
Details for the file doloris-0.0.1-py3-none-any.whl.
File metadata
- Download URL: doloris-0.0.1-py3-none-any.whl
- Upload date:
- Size: 3.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.7.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a77db09db4db57d05647202d1e99f6c8f557a4dc806b8baa201fe51843b51c45
|
|
| MD5 |
cff5dd36ca96eaaaa2ad1e552f44adf2
|
|
| BLAKE2b-256 |
a65a53722d91cba0d1c693f4ce2436ba7ce0f68ad03eb8a6f2e62e45f1c84bba
|
