Skip to main content

Bayesian Optimization

Project description

# Bayesian Optimization of HyperParameters - `bopt` [![Build Status](](

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

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for bopt, version 0.1.0
Filename, size File type Python version Upload date Hashes
Filename, size bopt-0.1.0-py2-none-any.whl (46.3 kB) File type Wheel Python version py2 Upload date Hashes View
Filename, size bopt-0.1.0.tar.gz (31.7 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page