A Python package for causal inference methods including ATE estimation, propensity score methods, and meta-learners
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
pycausal_dai-0.1.1.tar.gz
(7.0 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 pycausal_dai-0.1.1.tar.gz.
File metadata
- Download URL: pycausal_dai-0.1.1.tar.gz
- Upload date:
- Size: 7.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
dafcfd434f7c73105b391d9205048d47dbbb5ea189abcfd7cbbcaf6b86063a3f
|
|
| MD5 |
d171f962e8b1dd7dcb84eb2f071595f0
|
|
| BLAKE2b-256 |
067772177d780947abe987ebc9d1fd24af2ea6f75a7ebf7264c641d441cf9379
|
File details
Details for the file pycausal_dai-0.1.1-py3-none-any.whl.
File metadata
- Download URL: pycausal_dai-0.1.1-py3-none-any.whl
- Upload date:
- Size: 6.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c74f2004c9916c1523ac4e59b29745a41e390e43a37852f256c6ab88ee5b04ba
|
|
| MD5 |
f960bdef87af13bc117a9cbf00d97613
|
|
| BLAKE2b-256 |
c8c26230e37c851fccc8130bf801ef8b5e5d1a62ddaa23499bda2c085e50f30e
|