HyperSpace Documentation

HyperSpace is a library for distributed Bayesian hyperparameter optimization.

History:

• Hyperparameter Optimization

Tutorials:

• Quickstart
  • Step 1: Defining the objective function.
  • Step 2: Defining the parameter search space.
  • Step 3: Calling HyperSpace’s minimization functions.
• Minimal Example: Styblinski-Tang
• ML Example: Gradient Boosted Trees
• Viewing Results

Library Reference:

• Space
• hyperspace.hyperdrive package
• hyperspace.kepler package

Indices and tables

• Index
• Module Index
• Search Page