yupidevs/pactus
Framework to evaluate Trajectory Classification Algorithms
This tool helps researchers and data scientists evaluate how well different algorithms can categorize movement paths. You input various trajectory datasets and different classification models, and it outputs performance metrics like accuracy, F1-score, and a confusion matrix to show which model works best. It's designed for professionals working with location-based data.
No commits in the last 6 months. Available on PyPI.
Use this if you need to systematically compare and test multiple trajectory classification algorithms on diverse datasets to find the most accurate method.
Not ideal if you're looking for a tool to simply visualize trajectories or to track real-time object movements.
Stars
46
Forks
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Language
Python
License
MIT
Category
Last pushed
Jul 22, 2024
Commits (30d)
0
Dependencies
7
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