yggdrasil-decision-forests
MLBenchmarks.jl
| yggdrasil-decision-forests | MLBenchmarks.jl | |
|---|---|---|
| 4 | 1 | |
| 428 | 4 | |
| 3.0% | - | |
| 9.5 | 7.5 | |
| 5 days ago | 14 days ago | |
| C++ | Julia | |
| 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 ?
MLBenchmarks.jl
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Why do tree-based models still outperform deep learning on tabular data? (2022)
There seems to be differentiable tree models now that perfor somewhat better than e.g. XGBoost https://github.com/Evovest/MLBenchmarks.jl?tab=readme-ov-fil...
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
decision-tree-classifier - Decision Tree Classifier and Boosted Random Forest
flashlight - A C++ standalone library for machine learning [Moved to: https://github.com/flashlight/flashlight]
interpret - Fit interpretable models. Explain blackbox machine learning.
Spearmint - Spearmint Bayesian optimization codebase
srbench - A living benchmark framework for symbolic regression
higgs-logistic-regression
decision-forests - A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.