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-0.1.0.tar.gz
(7.2 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-0.1.0.tar.gz.
File metadata
- Download URL: pycausal_dai-0.1.0.tar.gz
- Upload date:
- Size: 7.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
840eb1b86add5dcbecd7c920ffd03dc066e26decf6628920fcedecea1dc000b0
|
|
| MD5 |
ef67cd79fa514939528da8804aca39c7
|
|
| BLAKE2b-256 |
f3b3a638863a379c52a94a20222481aabc50dfbac74bcd441708393ddf9b81d3
|
File details
Details for the file pycausal_dai-0.1.0-py3-none-any.whl.
File metadata
- Download URL: pycausal_dai-0.1.0-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/3.12.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
12eb2e51bd40578d83b9906d9a253121310c3c53211df48e46c984c8c41267d0
|
|
| MD5 |
ff82b22a3f0f9a74721f0310dd1538a6
|
|
| BLAKE2b-256 |
9efaece828408a21a00cecd86e262f69cfb129c8440d8e9682bc604e7dfc037a
|