Top 3 Python decision-tree Projects
🍊 :bar_chart: :bulb: Orange: Interactive data analysisProject mention: ETL Library for Python | reddit.com/r/Python | 2021-09-27
"On the simpler side". Do you mean with a graphical interface? Then, orange would be a nice solution. https://orangedatamining.com/
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue TeamsProject mention: adversarial-robustness-toolbox: Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams | reddit.com/r/blueteamsec | 2021-12-26
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.Project mention: Tree compiler that speeds up LightGBM model inference by ~30x | reddit.com/r/dataengineering | 2021-08-22
In a near-future version I'll expose some of the compilation parameters, I was somewhat afraid of having an API that's too complicated deterring people who just want a no-fuzz drop-in replacement for LightGBM. But as long as I keep sane defaults and have the parameters optional it should be fine. Relevant parameters are definitely block size (needs to adjust to L1i size and tree size) as well as the LLVM codemodel (a smaller adress space increases single-batch prediction speeds but doesn't work for large models). The thread-size specific compilation I'm still looking into, it makes the API more complicated and so might not be worth it.
Python decision-trees related posts
Tree compiler that speeds up LightGBM model inference by ~30x
2 projects | reddit.com/r/dataengineering | 22 Aug 2021
What are some of the best open-source decision-tree projects in Python? This list will help you:
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