Bayesian Optimization
Project description
# Bayesian Optimization of HyperParameters - `bopt` [](https://travis-ci.com/darthdeus/bopt)
Available commands:
```python
# 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
```
Available commands:
```python
# 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
```
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
bopt-0.1.0.tar.gz
(31.7 kB
view hashes)
Built Distribution
bopt-0.1.0-py2-none-any.whl
(46.3 kB
view hashes)