multidim.models

This module contains classifiers based on the SciKitLearn framework.

• CDER
• GaussianMixtureClassifier

We use these for modelling marked-point processes and labelled pointclouds.

Copyright

• This file is part of https://github.com/geomdata/gda-public/
• 2015, 2016, 2017 by Geometric Data Analytics, Inc. (http://geomdata.com)
• AGPL license. See LICENSE or https://github.com/geomdata/gda-public/blob/master/LICENSE

Classes

CDER([stop_level])	The CDER (Cover-Tree Differencing for Entropy Reduction) algorithm for supervised machine-learning of labelled cloud collections.
GaussianMixtureClassifier([stop_level])	A scikit-learn classification estimator, for any sort of Gaussian mixture model.