Toolbox for streaming data.
Project description
# stream-learn
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stream-learn is a Python package equipped with a procedures to process data streams using estimators with API compatible with scikit-learn.
## Documentation
API documentation with set of examples may be found on the [documentation page](https://w4k2.github.io/stream-learn/).
## Installation
stream-learn is available on the PyPi and you may install it with pip:
```
pip install stream-learn
```
```python
import strlearn
from sklearn import neural_network
clf = neural_network.MLPClassifier()
X, y = strlearn.utils.load_arff('toyset.arff')
learner = strlearn.Learner(X, y, clf)
learner.run()
```
### Flow controllers and stream estimators
[![Travis Status](https://travis-ci.org/w4k2/stream-learn.svg?branch=master)](https://travis-ci.org/w4k2/stream-learn)
[![Coveralls Status](https://coveralls.io/repos/w4k2/stream-learn/badge.svg?branch=master&service=github)](https://coveralls.io/r/w4k2/stream-learn)
[![CircleCI Status](https://circleci.com/gh/w4k2/stream-learn.svg?style=shield&circle-token=:circle-token)](https://circleci.com/gh/w4k2/stream-learn/tree/master)
[![KSSK](https://img.shields.io/badge/KSSK-alive-green.svg)](http://kssk.pwr.edu.pl)
stream-learn is a Python package equipped with a procedures to process data streams using estimators with API compatible with scikit-learn.
## Documentation
API documentation with set of examples may be found on the [documentation page](https://w4k2.github.io/stream-learn/).
## Installation
stream-learn is available on the PyPi and you may install it with pip:
```
pip install stream-learn
```
```python
import strlearn
from sklearn import neural_network
clf = neural_network.MLPClassifier()
X, y = strlearn.utils.load_arff('toyset.arff')
learner = strlearn.Learner(X, y, clf)
learner.run()
```
### Flow controllers and stream estimators
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