Short answer grading assistant with active learning support
Project description
# Autograding assistant
### Instructions * This software requires Python 3.x and Flask version 1.0.2 installed on the system. * The web based autograding assistant needs data input to be uploaded in the form of nbgrader metadata. * When using the software, select the zipped nbgrader metadata dataset for upload. * Upload the models answers if available in the form of a txt file. * Once the application is lauched, go to http://127.0.0.1:5000 to get the GUI window.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
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 grading_application-0.0.7-py3-none-any.whl.
File metadata
- Download URL: grading_application-0.0.7-py3-none-any.whl
- Upload date:
- Size: 9.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.14.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.6.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1c089139cb2204686f76696d2962f1c522473fcdc0b4e495d1337e9aca20685d
|
|
| MD5 |
a5bdaa36bfbde696e921d65ece35ea65
|
|
| BLAKE2b-256 |
0a8d96c625ff7d3d7f597f23a213a4c5d7e0b0813dd4f5af6a5f6ffbc96c4c8b
|
