Causal ML for longitudinal disease progression
Project description
Model
Defines the MetaRisk Model Infrastructure
Some Considerations
- Make sure that the Model repository is editable by all users:
chmod -R o+w Model
Uploading to PyPi
- Change to the parent directory:
cd /PATH/TO/Model/ - Activate any valid environment (typically
pyModel) - Build:
python -m build - Upload using twine:
twine check dist/* twine upload --verbose dist/*
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
metarisk-1.2.1.tar.gz
(44.9 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
metarisk-1.2.1-py3-none-any.whl
(32.9 kB
view details)
File details
Details for the file metarisk-1.2.1.tar.gz.
File metadata
- Download URL: metarisk-1.2.1.tar.gz
- Upload date:
- Size: 44.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
65870366a24a8b774ed2aab6727e1f3293e0fa267ecff1cb9896df365d211648
|
|
| MD5 |
c766955bda1a510acf51243dee230802
|
|
| BLAKE2b-256 |
d1e1cbbfd947713f7478b1d03cd3a464651fe806322f75aea32973e4039f039c
|
File details
Details for the file metarisk-1.2.1-py3-none-any.whl.
File metadata
- Download URL: metarisk-1.2.1-py3-none-any.whl
- Upload date:
- Size: 32.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8908fe18d954f6bd7ec4ff63f01c4591bf88d814f233d65050bca06fae3e4526
|
|
| MD5 |
53bfa492e51f11af109adf78b18c0b29
|
|
| BLAKE2b-256 |
01c4996e5cbc2fa9142f7055dc2ae2c27e308b9677996ed27a201063b8967b04
|