scikit-multiflow 0.2.0-foss-2018b-Python-3.6.6

There is a newer version of scikit-multiflow

scikit-multiflow is inspired by MOA, the most popular open source framework for machine learning for data streams, and MEKA, an open source implementation of methods for multi-label learning. scikit-multiflow is also inspired on scikit-learn, the most popular framework for machine learning in Python. Following the SciKits philosophy, scikit-multiflow is an open source machine learning framework for multi-output/multi-label and stream data.

Accessing scikit-multiflow 0.2.0-foss-2018b-Python-3.6.6

To load the module for scikit-multiflow 0.2.0-foss-2018b-Python-3.6.6 please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):

module load scikit-multiflow/0.2.0-foss-2018b-Python-3.6.6

BEAR Apps Version

2020b

Extensions

  • scikit-multiflow-0.2.0
  • sortedcontainers 2.1.0

More Information

For more information visit the scikit-multiflow website.

Dependencies

This version of scikit-multiflow has a direct dependency on: foss/2018b Python/3.6.6-foss-2018b scikit-learn/0.20.0-foss-2018b-Python-3.6.6

Other Versions

These versions of scikit-multiflow are available on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Version BEAR Apps Version
0.4.1-foss-2019a-Python-3.7.2 2019a

Last modified on 5th June 2019