Optimizer for EM algorithm which stores data + parameter graph, plus algorithm parameters.
Currently, the underlying implementation uses Expectation-Maximization (EM), implemented
according to the Asuncion et al. (2009) paper referenced below.
References:
Original LDA paper (journal version):
Blei, Ng, and Jordan. "Latent Dirichlet Allocation." JMLR, 2003.
This class implements their "smoothed" LDA model.
Paper which clearly explains several algorithms, including EM:
Asuncion, Welling, Smyth, and Teh.
"On Smoothing and Inference for Topic Models." UAI, 2009.
:: DeveloperApi ::
Optimizer for EM algorithm which stores data + parameter graph, plus algorithm parameters.
Currently, the underlying implementation uses Expectation-Maximization (EM), implemented according to the Asuncion et al. (2009) paper referenced below.
References: