com.github
Optimizable gradient-based Gaussian Mixture Model See An Alternative to EM for Gaussian Mixture Models: Batch and Stochastic Riemannian Optimization]]
Distributed aggregator of necessary statistics
In each worker it computes and aggregates the current batch log-likelihood, and the terms that will later be used to compute the gradient. The class structure is based on Spark's ExpectationSum
Distributed aggregator of necessary statistics
In each worker it computes and aggregates the current batch log-likelihood, and the terms that will later be used to compute the gradient. The class structure is based on Spark's ExpectationSum