Genuine AI functions used in iMICS Lab research projects
Project description
Genuine AI functions used in IMICS Lab research Projects. For more information, please refer to our website at imics.ca
@author: Ernest (Khashayar) Namdar ernest.namdar@utoronto.ca
AUCPlus is an augmented AUC function It returns conventional AUC, our augmented AUC, and multiple parameters such as sensitivity and specificity at each threshold
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
GenuineAI-0.1.0.tar.gz
(6.3 kB
view details)
Built Distribution
File details
Details for the file GenuineAI-0.1.0.tar.gz
.
File metadata
- Download URL: GenuineAI-0.1.0.tar.gz
- Upload date:
- Size: 6.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.8.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7e660f73f4efa0eee60cb60713b32798e23ffc69e9ceea156026cf74e41aab2a |
|
MD5 | 30afc571da8b3967086b0d59d99d06d6 |
|
BLAKE2b-256 | d7f58130d00011089273aab01f9d758de28f27bbab3127e84e9db98706ced39d |
File details
Details for the file GenuineAI-0.1.0-py3-none-any.whl
.
File metadata
- Download URL: GenuineAI-0.1.0-py3-none-any.whl
- Upload date:
- Size: 7.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.8.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 42f6f2820df212162dac8e32c9516ef4c0e05d44b07469be600a8aa33a34e788 |
|
MD5 | f0ec6958df376053add28978bba55d33 |
|
BLAKE2b-256 | b0994600bd4190bafed2f63273c71af7f770add6ac0edc5c33070678efa7b8c2 |