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
The AI workplace management platform
By combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Scikit-Optimize!