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
.