# RABBO

**Repository Path**: mindopt/RABBO

## Basic Information

- **Project Name**: RABBO
- **Description**: MindOpt团队公开的黑盒优化算法benchmark：RABBO。介绍： https://tianchi.aliyun.com/dataset/111953
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-02-22
- **Last Updated**: 2024-02-22

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README


# changelog

- 2021-10-26 published in git at: https://code.aliyun.com/mindopt001/RABBO

- 2024-02-22 Copy the project to new site at: https://gitee.com/mindopt/RABBO


# Introduction
This project is provided to implement your amazing black-box optimization algorithms.

## Details And Manuals

See [Link](https://tianchi.aliyun.com/specials/promotion/BlackBox)

## Installation

We recommend it should be installed in `virtualenv`.
For now, you can choose one of two installation options below.

* Using source code (for normal installation)

To install `RABBO` from source code, please first clone the repo to your local directory.


```shell
# New link is valid from 2024
git clone -b starter-kit git@gitee.com:mindopt/RABBO.git
```


```shell
# this link is invalid from 2023
git clone -b starter-kit https://code.aliyun.com/mindopt001/RABBO.git
```

Then command

```shell
$ pip install -r requirements.txt
$ python setup.py install
```

in the `RABBO` root.

* Using source code (for editable development mode)

To use editable development mode, command

```shell
$ pip install -e .
```

in the `RABBO` root.

Note: RABBO supports Python3.6 or newer.

* Uninstallation

If you would like to uninstall bayeso-benchmarks, command it.

```shell
$ pip uninstall blackbox_starter_kit
```

## Required Packages

Mandatory pacakges are inlcuded in `requirements.txt`.

## Project Structure

```
.
├── Dockerfile
├── LICENSE
├── MANIFEST.in
├── README.md
├── __init__.py
├── blackbox_starter_kit # Read problems and implement your algorithm here.
├── build.sh             # You can build docker image by this script.
├── create_wheels_source.txt
├── evaluate_client 
├── examples           # Some examples.
├── requirements.txt
├── setup.py
```

## Contact

Email address: solver.damo@list.alibaba-inc.com

Dingtalk group number：33377253

![image.png](https://intranetproxy.alipay.com/skylark/lark/0/2021/png/154650/1634133069513-9b6105f4-d658-400a-a67e-82c08ddb9b72.png#clientId=u1c986b0e-40c7-4&from=paste&height=152&id=ub21d0e0d&margin=%5Bobject%20Object%5D&name=image.png&originHeight=304&originWidth=306&originalType=binary&ratio=1&size=93588&status=done&style=none&taskId=u03a9076f-3f05-4273-be5e-5c540639bd3&width=153)

## License

[MIT License](LICENSE)