# Bayesian Optimization of HyperParameters - `bopt` [![Build Status](https://travis-ci.com/darthdeus/bopt.svg?branch=master)](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
```


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Credits

Author: Jakub Arnold

License

MIT License

Requires

Python ~=3.6

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