SHERPA: A Python Hyperparameter Optimization Library



SHERPA is a Python library for hyperparameter tuning of machine learning models.

It provides:

  • 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.

See also

If you are looking for the similarly named package “Sherpa” for modelling and fitting data go here: