Metadata-Version: 2.1
Name: scikit-ika
Version: 0.0.6
Summary: real-time lifelong machine learning
Home-page: https://github.com/scikit-ika/scikit-ika
Author: Team scikit-ika
Author-email: 
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown

# scikit-ika

[![PyPI](https://img.shields.io/pypi/v/scikit-ika.svg)](https://pypi.python.org/pypi/scikit-ika) [![Build Status](https://travis-ci.com/scikit-ika/scikit-ika.svg?branch=master)](https://travis-ci.com/scikit-ika/scikit-ika)

A real-time adaptive predictive system for evolving data streams. [Learn More](https://scikit-ika.github.io/about/)

### Requirements

Make sure the following dependencies are installed:

* Python &ge; 3.6

* C++ toolchain supporting C++14 (g++ 7+, CMake)

### Installing

From PyPI

```bash
pip install scikit-ika
```

From source

```bash
git clone https://github.com/scikit-ika/scikit-ika.git --recursive
pip install ./scikit-ika
```

### Note

`scikit-ika` is still in its infancy. The APIs are unstable and the documentation is scarse.

Guides on usages and parameter tunning are on its way. Meanwhile, please feel free to
raise issues or email us if you have any questions.

### Acknowledgement

This project is inspired by and has dependencies on the following projects:

* [scikit-multiflow](https://github.com/scikit-multiflow/scikit-multiflow)
* [streamDM in C++](https://github.com/huawei-noah/streamDM-Cpp)


