greenfish77/gaenari
c++ incremental decision tree
This project helps businesses and analysts maintain the accuracy of their predictive models in environments where data trends constantly shift. It takes in new incoming data (like customer transactions or market movements) and continuously updates decision tree models without needing to retrain from scratch. This is ideal for data professionals who need to ensure their predictions remain relevant as real-world conditions evolve.
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Use this if your existing predictive models lose accuracy over time because the underlying data patterns change, and you need a way to keep them current with new information.
Not ideal if your data patterns are static and don't change over time, or if you prefer traditional batch-trained models with periodic full retraining.
Stars
29
Forks
2
Language
C++
License
Apache-2.0
Category
Last pushed
Jun 18, 2022
Commits (30d)
0
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