MeDIL
MeDIL is a Python package for causal factor analysis, using the measurement dependence inducing latent (MeDIL) causal model framework1. In addition to simple linear Gaussian models, MeDIL also supports deep generative models2.
More information can be found in the documentation.
Support, Bugs, and Contributing
If you have any questions, suggestions, feedback, or bugs to report, please open an issue on Gitlab or on Github or contact me.
Thanks to contributors Jeri A. Chang, Aditya Chivukula, and Mingyu Liu!
License
See LICENSE, which is the GNU Affero General Public License version 3 or later (AGPLv3+).
Changelog
See CHANGELOG for a history of the already implemented features, works in progress, and future feature ideas.
References
1. Alex Markham & Moritz Grosse-Wentrup (2020). Measurement Dependence Inducing Latent Causal Models. In Conference on Uncertainty in Artificial Intelligence (UAI) PMLR 124:590–599. URL: http://proceedings.mlr.press/v124/markham20a/markham20a.pdf.
2. Alex Markham, Mingyu Liu, Bryon Aragam, Liam Solus (2026). Neuro-Causal Factor Analysis. In Proceedings of the 13th International Conference on Probabilistic Graphical Models (PGM). PMLR.
1 maintainer
Metadata
1 maintainer
Release files for medil 2.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| medil-2.0.0.tar.gz | 216.1 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| medil-2.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 263.7 kB
Release files / medil-2.0.0.tar.gz
| Download URL | medil-2.0.0.tar.gz |
|---|---|
| Size | 216.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
fbe727b9758e2497546e4fe0023f9d065792bf0402b2db580affb0df0e0d8afe
|
|
BLAKE2b-256 checksum How to use checksums |
6871cd18df3e894423836fe60373ee6a7feab6be6c8ae91151ce3fd8b64ad74d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.11.10 {"installer":{"name":"uv","version":"0.11.10","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"NixOS","version":"26.11","id":"zokor","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
|
Release files / medil-2.0.0-py3-none-any.whl
| Download URL | medil-2.0.0-py3-none-any.whl |
|---|---|
| Size | 47.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
9c5f333e0c2ebc8342ae90733ff5be0378a254a666645526cc77a32d33e6de31
|
|
BLAKE2b-256 checksum How to use checksums |
57bff671eb102d27edd0f2e4d7e84bf21124df45bab22ecaef66331767fb9003
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.11.10 {"installer":{"name":"uv","version":"0.11.10","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"NixOS","version":"26.11","id":"zokor","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
|
Security for medil 2.0.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
