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. The library is built on top of NumPy, SciPy and Scikit-Learn.
Features
- Sequential model-based optimization
- Built on NumPy, SciPy, and Scikit-Learn
- Open source, commercially usable - BSD license
- Scikit-learn hyperparameter search wrapper
- Tuning a scikit-learn estimator with skopt
- Visualizing optimization results
Categories
Machine LearningLicense
BSD LicenseFollow Scikit-Optimize
Other Useful Business Software
Paessler: Easy to Use With Enterprise Power. Free Trial
You shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Scikit-Optimize!