yggdrasil-decision-forests
decision-tree-classifier
yggdrasil-decision-forests | decision-tree-classifier | |
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4 | 3 | |
428 | 2 | |
3.0% | - | |
9.5 | 0.0 | |
5 days ago | almost 4 years ago | |
C++ | C++ | |
Apache License 2.0 | - |
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yggdrasil-decision-forests
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Why do tree-based models still outperform deep learning on tabular data? (2022)
Is it this library https://github.com/google/yggdrasil-decision-forests ?
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Binary image classification using random forest algorithm
However if you know cpp you can use Yggdrasil https://github.com/google/yggdrasil-decision-forests.
- Why do tree-based models still outperform deep learning on tabular data?
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[P] Tree compiler that speeds up LightGBM model inference by ~30x
Have you tried to compare with Yggdrasil, the decision forest engine (c++, both training and inference) powering TensorFlow Decision Forests ?
decision-tree-classifier
What are some alternatives?
LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
tensorflow - An Open Source Machine Learning Framework for Everyone
interpret - Fit interpretable models. Explain blackbox machine learning.
flashlight - A C++ standalone library for machine learning [Moved to: https://github.com/flashlight/flashlight]
GLM - OpenGL Mathematics (GLM)
CXXGraph - Header-Only C++ Library for Graph Representation and Algorithms
Spearmint - Spearmint Bayesian optimization codebase
C++ REST SDK - The C++ REST SDK is a Microsoft project for cloud-based client-server communication in native code using a modern asynchronous C++ API design. This project aims to help C++ developers connect to and interact with services.
srbench - A living benchmark framework for symbolic regression
higgs-logistic-regression