A library aiding to create anonymizers (privacy preserving machine learning models) for the AnoMed competition platform.
Project description
Anonymizer
A library aiding to create anonymizers (privacy preserving machine learning models) for the AnoMed competition platform.
Usage Example
...
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
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 anomed_anonymizer-0.0.1.tar.gz.
File metadata
- Download URL: anomed_anonymizer-0.0.1.tar.gz
- Upload date:
- Size: 8.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.10.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
962db22df1f7d307ee2a3c89c72736ff92f029d6e0a57839201705edbade742c
|
|
| MD5 |
146dd33260492106756c9dc1a1d43811
|
|
| BLAKE2b-256 |
ade6a2506a281921b8bd61a539b0ea184032b9072452927bcdc8ba0a0d4da265
|
File details
Details for the file anomed_anonymizer-0.0.1-py3-none-any.whl.
File metadata
- Download URL: anomed_anonymizer-0.0.1-py3-none-any.whl
- Upload date:
- Size: 8.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.10.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1b9bc7da11f599c13294503b6f49c38a27700b537f31e0e6b8ccd765ce276f05
|
|
| MD5 |
08cc429229480557acb21b62d74633bb
|
|
| BLAKE2b-256 |
f6d5141c70acd906d40b608812071b66ee0adb025b5aad87d6023203a0160f98
|
