Shypd.aiThe largest open index of AI toolsSpearmint is an AI Frameworks & Infra tool that performs Bayesian optimization for machine learning algorithms. It automates experiment execution and parameter tuning to minimize objectives efficiently.
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Spearmint is a Python package designed for Bayesian optimization, specifically tailored for machine learning algorithms and experimental design. It implements the algorithms outlined in the paper "Practical Bayesian Optimization of Machine Learning Algorithms." The tool automates the process of running experiments, iteratively adjusting parameters to minimize a given objective in as few runs as possible. It supports both single-machine and cluster environments, offering drivers for local execution and Sun Grid Engine (SGE) for distributed computing. Spearmint allows users to define parameters, their bounds, and types (FLOAT, INT, ENUM) in a configuration file, and provides a wrapper interface for Python or Matlab functions to be optimized. A 'lite' version is also available for manual experiment management without automatic execution.
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