Event-forecasting - Event Forecasting Algorithms With Python

Last update: Feb 15, 2022

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Overview

event-forecasting

Event Forecasting Algorithms

Theory

Correlating events in complex and dynamic IoT environments is a challenging task not only because of the amount of available data that needs to be processed but also due to the call for time efficient data processing. We propose the adoption of a univariate change detection algorithms for real-time event detection.

Requirements

Python 3.6 to 3.10 supported.
numpy 1.22.0 to 1.22.2 supported.

Installation

Install with pip:

python -m pip install event-forecasting

Usage/Examples

See the example project in the example/ directory of the GitHub repository.

License

BSD-3-Clause License

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Releases(v0.0.4)

v0.0.4(Feb 16, 2022)

Source code(tar.gz)
Source code(zip)

Owner

Intellia ICT

Intellia is an SME targetting innovation in the areas of Augmented Reality and AI/ML solutions.

GitHub Repository https://test.pypi.org/project/event-forecasting/

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