<commit_before># Scikit-Optimize

Scikit-Optimize, or `skopt`, is a simple and efficient library
for model-based optimization, accessible to everybody and reusable in various
contexts.

The library is built on top of NumPy, SciPy and Scikit-Learn.

[![Build Status](https://travis-ci.org/scikit-optimize/scikit-optimize.svg?branch=master)](https://travis-ci.org/scikit-optimize/scikit-optimize)

## Documentation

- [Static documentation](https://scikit-optimize.github.io/)
- Examples can be found under the [`examples/`](https://github.com/scikit-optimize/scikit-optimize/tree/master/examples) directory.

## Development

The library is still experimental and under heavy development.
<commit_msg>DOC: 'sequential' model-based optimisation<commit_after># Scikit-Optimize

Scikit-Optimize, or `skopt`, is a simple and efficient library
for sequential model-based optimization, accessible to everybody and reusable in various
contexts.

The library is built on top of NumPy, SciPy and Scikit-Learn.

[![Build Status](https://travis-ci.org/scikit-optimize/scikit-optimize.svg?branch=master)](https://travis-ci.org/scikit-optimize/scikit-optimize)

## Documentation

- [Static documentation](https://scikit-optimize.github.io/)
- Examples can be found under the [`examples/`](https://github.com/scikit-optimize/scikit-optimize/tree/master/examples) directory.

## Development

The library is still experimental and under heavy development.

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