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SlowFeatureAnalysis

Implementation of the Slow Feature Analysis algorithm for unsupervised learning

Install / Use

/learn @hsaafan/SlowFeatureAnalysis
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

SlowFeatureAnalysis

Implementation of the Slow Feature Analysis algorithm for unsupervised learning

Main Files

SFAClass.py provides the SFA object which is used for training of data

TEP_Import.py is a set of functions that are used to import the Tennessee Eastman Process dataset for testing purposes

Test Files

Files ending with _test are test cases that are checked with pytest

View on GitHub
GitHub Stars11
CategoryEducation
Updated7d ago
Forks1

Languages

Python

Security Score

90/100

Audited on Apr 1, 2026

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