UT-LVCE: Perturbations and Causality in Gaussian Latent Variable Models
This repository contains a Python implementation of the UT-LVCE algorithms from the 2022 paper "Perturbations and Causality in Gaussian Latent Variable Models", by A. Taeb, JL. Gamella, C. Heinze-Deml and P. Bühlmann.
It is also available as the python package utlvce. You can find the full documentation at https://utlvce.readthedocs.io/en/latest/.
The code to reproduce the experiments and figures in the paper can be found in a separate repository.
Installation
You can clone this repo or install the package using pip:
pip install utlvce
Documentation
You can find the docs at https://utlvce.readthedocs.io/en/latest/.
Versioning
The pacakge is still at its infancy and its API may change in the future. Non backward-compatible changes to the API are reflected by a change to the minor or major version number, e.g.
code written using utlvce==0.1.2 will run with utlvce==0.1.3, but may not run with utlvce==0.2.0.
Feedback
Feedback is most welcome! You can add an issue or send an email.
1 maintainer
Metadata
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Release files for utlvce 0.1.1
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| File | Size | Uploaded | Provenance | |
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| utlvce-0.1.1.tar.gz | 44.3 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| utlvce-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 91.2 kB
Release files / utlvce-0.1.1.tar.gz
| Download URL | utlvce-0.1.1.tar.gz |
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| Size | 44.3 kB |
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Release files / utlvce-0.1.1-py3-none-any.whl
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| Tags | Python 3 |
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