benchmarks
MLBox
| benchmarks | MLBox | |
|---|---|---|
| 1 | 1 | |
| 163 | 1,477 | |
| 0.6% | - | |
| 4.4 | 0.0 | |
| 9 days ago | 9 months ago | |
| Jupyter Notebook | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
benchmarks
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[D] [R] Hyperparameter space for lightGBM
A good starting point could be the CatBoost quality benchmarks, which also tune LightGBM. You can find their hyperparameter settings here.
MLBox
What are some alternatives?
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pycaret - An open-source, low-code machine learning library in Python
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deep-kernel-transfer - Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Genome - Genome Network Ala Neural Network