bopt

Bayesian Optimization


Keywords
bayesian-optimization, gaussian-processes, machine-learning
License
MIT
Install
pip install bopt==0.1.0

Documentation

Bayesian Optimization of HyperParameters - bopt Build Status Maintainability Test Coverage PyPi version Python Version

Available commands:

# Create a new experiment.
bopt init -C META_DIR

# Start tuning hyperparameters.
bopt run -C META_DIR

# Get an overview status of an experiment.
bopt exp -C META_DIR

# Start web visualizations of the results.
bopt web -C META_DIR

Installation

pip install bopt