Getting started
In this tutorial we are going to introduce attendees to data stream mining procedures and examples of big data stream mining applications. Besides the theory we will also present examples using the river
library.
Recommended installation
For the scope of this tutorial, we recommend the using pip
:
pip install git+https://github.com/online-ml/river --upgrade
Note: river
works with Python 3.6+
Alternatives
See https://riverml.xyz/latest/getting-started/installation/ for available options.
Note: This is only recommended for advanced users.