Software Open Access
scikit-optimize/scikit-optimize
Head, Tim;
Kumar, Manoj;
Nahrstaedt, Holger;
Louppe, Gilles;
Shcherbatyi, Iaroslav
Scikit-Optimize, or skopt, is a simple and efficient library to minimize (very) expensive and noisy black-box functions. It implements several methods for sequential model-based optimization. skopt aims to be accessible and easy to use in many contexts.
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(467.4 kB)
| Name | Size | |
|---|---|---|
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scikit-optimize/scikit-optimize-v0.8.1.zip
md5:87343e85d484db52d08e79cfa7479734 |
467.4 kB | Download |
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| All versions | This version | |
|---|---|---|
| Views | 3,350 | 698 |
| Downloads | 64 | 5 |
| Data volume | 81.8 MB | 2.3 MB |
| Unique views | 2,495 | 519 |
| Unique downloads | 55 | 5 |
Indexed in
- Publication date:
- September 4, 2020
- DOI:
-
- Keyword(s):
- bayesopt optimization scientific-computing python machine-learning hyperparameter bayesian-optimization
- Related identifiers:
- Documents
- License (for files):
- BSD 3-Clause "New" or "Revised" License