stream-learn 0.8.1

Python package equipped with a procedures to process data streams using estimators with API compatible with scikit-learn.

stream-learn

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.

Installation

stream-learn is available on the PyPi and you may install it with pip:

pip install stream-learn

Example usage

import strlearn as sl
from sklearn.naive_bayes import GaussianNB
from sklearn.neural_network import MLPClassifier

stream = sl.streams.StreamGenerator(n_chunks=250, n_drifts=1)
clf = GaussianNB()
evaluator = sl.evaluators.TestThenTrainEvaluator()

evaluator.process(stream, clf)

print(evaluator.scores_)