<commit_before># XDGMM
This is a Python class for using Gaussian mixtures to do density estimation of noisy, heterogenous, and incomplete data using extreme deconvolution (XD) algorithms which is compatible with the scikit-learn machine learning methods. It implements both the [astroML](http://www.astroml.org/index.html) and [Bovy et al. (2011)](https://github.com/jobovy/extreme-deconvolution) algorithms, and extends the BaseEstimator class from [scikit-learn](http://scikit-learn.org/stable/) so that cross-validation methods will work. It allows the user to produce a conditioned model if values of some parameters are known.

[![Build Status](https://travis-ci.org/tholoien/XDGMM.svg?branch=master)](https://travis-ci.org/tholoien/XDGMM)

## XDGMM Algorithms
The code currently supports the [astroML](http://www.astroml.org/index.html) algorithm for XDGMM fitting and sampling. The [Bovy et al. (2011)](https://github.com/jobovy/extreme-deconvolution) algorithm will be implemented.

## Machine Learning
This class is compatible with cross validation methods from [scikit-learn](http://scikit-learn.org/stable/).

## Other Capabilities<commit_msg>Updated README with final information.<commit_after># XDGMM
This is a Python class for using Gaussian mixtures to do density estimation of noisy, heterogenous, and incomplete data using extreme deconvolution (XD) algorithms which is compatible with the scikit-learn machine learning methods. It implements both the [astroML](http://www.astroml.org/index.html) and [Bovy et al. (2011)](https://github.com/jobovy/extreme-deconvolution) algorithms, and extends the BaseEstimator class from [scikit-learn](http://scikit-learn.org/stable/) so that cross-validation methods will work. It allows the user to produce a conditioned model if values of some parameters are known.

[![Build Status](https://travis-ci.org/tholoien/XDGMM.svg?branch=master)](https://travis-ci.org/tholoien/XDGMM)

## XDGMM Algorithms
The code currently supports the [astroML](http://www.astroml.org/index.html) and [Bovy et al. (2011)](https://github.com/jobovy/extreme-deconvolution) algorithms for XDGMM fitting and sampling.

## Machine Learning
This class is compatible with cross validation methods from [scikit-learn](http://scikit-learn.org/stable/). See the demo for an example of this functionality.

## Other Capabilities
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