Random random events for probabilistic reasoning

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  • License: MIT License (MIT License)
  • Author: Tom Schierenbeck
  • Tags random events , probabilistic machine learning , probability theory , variables , reasoning under uncertainty
  • Requires: Python >=3.8
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Project description

Welcome to the Random Events package!

Probabilistic Machine Learning frequently requires descriptions of random variables and events that are shared among many packages. This package provides a common interface for describing random variables and events, using usable and easily extensible classes.

Installation:

For Users:

Install the package via

pip install random-events

For Developers:

Create your own fork of the original repository and clone the fork.

git clone *ADDRESS_OF_YOUR_FORK*

Move into the repository and initialize the submodules.

cd random-events
git submodule update --init --recursive

Now, install all requirements.

pip install -r requirements-dev.txt

Usage and Guides:

Check out the documentation.

Project details

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  • License: MIT License (MIT License)
  • Author: Tom Schierenbeck
  • Tags random events , probabilistic machine learning , probability theory , variables , reasoning under uncertainty
  • Requires: Python >=3.8
Classifiers

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