About Spearmint
Spearmint is a Python software package for Bayesian optimization, designed for systematically running experiments to minimize objective functions with as few evaluations as possible. Targeted at researchers and engineers in machine learning and related fields, it supports advanced experiment automation and parameter tuning. Spearmint requires Python 2.7, MongoDB, and several Python packages, and is distributed under an Academic and Non-Commercial Research Use License.
Resources
Product Website
Visit Spearmint's official website for product details and getting started.
Documentation
Comprehensive guide and API reference for using Spearmint for Bayesian optimization.
Community Discussions
Engage with other users and developers, share experiences, and ask questions about Spearmint.
Examples and Tutorials
A collection of examples and tutorials to get started with Spearmint and understand its capabilities.