SHERPA: A Python Hyperparameter Optimization Library¶
SHERPA is a Python library for hyperparameter tuning of machine learning models.
- hyperparameter optimization for machine learning researchers
- a choice of hyperparameter optimization algorithms
- parallel computation that can be fitted to the user’s needs
- a live dashboard for the exploratory analysis of results.
Its goal is to provide a platform in which recent hyperparameter optimization algorithms can be used interchangeably while running on a laptop or a cluster.
If you are looking for the similarly named package “Sherpa” for modelling and fitting data go here: https://sherpa.readthedocs.io