Skip to main content

Information-Theoretic Causal Inference on Event Sequences

Project description

Pycute

Pycute is a infromation-theoretic causal inference method for event sequences based on Granger-causality.

Pycute Module Installation

The recommended way to install the pycute module is to simply use pip:

$ pip install pycute

Pycute officially supports Python >= 3.6.

How to use pycute?

>>> X = [1] * 1000
>>> Y = [-1] * 1000
>>> from pycute import cute, tent, simulations
>>> cute.cute(X, Y)                                                   # CUTE
(0.0, 0.0)
>>> tent.tent(X, Y)                                                   # TENT
(0.0, 0.0)
>>> simulations.simulate_decision_rate_against_data_type('/results/dir/')
# for decision rate vs causal relationship type plots
...

How to cite the paper?

Todo: Add the citation to thesis.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pycute-0.1.0.tar.gz (5.8 kB view hashes)

Uploaded Source

Built Distribution

pycute-0.1.0-py3-none-any.whl (7.0 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page