Progress Report 3

My mentor gave me some useful advices after I finished all the codes of BayesianGaussianMixture and DirichletProcessGaussianMixture. So in these two weeks, I fixed the style problems and did all the necessary test cases for BayesianGaussianMixture. I also did the visualization of Gaussian mixture with variational inference for four types of precision using matplotlib.animation, link

Next step, I will explore some optional tasks which are incremental learning and other covariance estimators besides the test cases of DirichletProcessGaussianMixture.

GSoC Final Project Report

GSoC is approaching its end. I am very glad to have such great experience this summer.I explored the classical machine learning models, G...… Continue reading

GSoC Week 8, 9 and Progress Report 2

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Published on July 13, 2015