navigator8972 / gmr

Gaussian Mixture Regression

gmr

Gaussian Mixture Models (GMMs) for clustering and regression in Python.

Source code repository: https://github.com/AlexanderFabisch/gmr

Example

Estimate GMM from samples and sample from GMM:

from gmr import GMM

gmm = GMM(n_components=3, random_state=random_state)
gmm.from_samples(X)
X_sampled = gmm.sample(100)

For more details, see:

help(gmr)

How Does It Compare to scikit-learn?

There is an implementation of Gaussian Mixture Models for clustering in scikit-learn as well. Regression could not be easily integrated in the interface of sklearn. That is the reason why I put the code in a separate repository.

Installation

Install from PyPI:

sudo pip install gmr

or from source:

sudo python setup.py install