GitHub / IvanVigor / Local-Fusion-Dynamic-Weighted-Ensemble
This repository contains an implementation for the Dynamic Weighted Ensemble (DWE) - Local Fusion method. Local Fusion is an ensemble techinque that could be used to improve predictions by weighing appropriately the single models contribution.
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PURL: pkg:github/IvanVigor/Local-Fusion-Dynamic-Weighted-Ensemble
Stars: 8
Forks: 0
Open issues: 0
License: mit
Language: Python
Size: 131 KB
Dependencies parsed at: Pending
Created at: almost 3 years ago
Updated at: over 1 year ago
Pushed at: 10 months ago
Last synced at: 2 months ago
Commit Stats
Commits: 95
Authors: 4
Mean commits per author: 23.75
Development Distribution Score: 0.347
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/IvanVigor/Local-Fusion-Dynamic-Weighted-Ensemble
Topics: anomaly-detection, ensemble-machine-learning, nuclear, python, regression-algorithms, time-series, wind