Welcome to HypONIC’s documentation!

HypONIC is a hyperparameter optimization library that uses various nature inspired computing algorithms to optimize the hyperparameters of machine learning models. The library provides a simple interface for Sklearn, XGBoost, LightGBM models. It also provides a simple interface for custom models.

Quick Start:

• Simple Guide
  • Installation
  • Example
  • Models
  • Metrics
  • Optimizers
  • Optimization
• Advanced guide
  • Installation
  • Example
  • Models
  • Metrics
  • Optimizers

Models:

• All Optimizers
  • Subpackages
    • hyponic.optimizers.genetic_based package
    • hyponic.optimizers.physics_based package
    • hyponic.optimizers.swarm_based package
    • hyponic.utils package
  • Submodules
  • hyponic.hyponic module
    • HypONIC
  • hyponic.space module
    • Space

Indices and tables

• Index

• Module Index

• Search Page