Man pages for clintpgeorge/clda
Approximate Inference Algorithms for the Compound Latent Dirichlet Allocation Model

align_betaAlign Topics
calc_doc_lengthsCalculate document sizes
calc_top_topic_wordsGets the most probable topical words
cldaAlgorithms for the Compound Latent Dirichlet Allocation Model
clda_agscLDA: Auxiliary Variable Update within Collpased Gibbs...
clda_ags_emcLDA: Auxiliary Variable Update within Collpased Gibbs...
clda_ags_sample_alphacLDA: Auxiliary Variable Update within Collpased Gibbs...
clda_mgsCLDA: MMALA within Gibbs sampler (with re-parameterization)
clda_vemcLDA: Variational Expectation Maximization
gen_meshgridGenerates a mesh-grid
gen_synth_clda_corpusGenerates a Synthetic c-LDA Corpus
gen_synth_clda_corpus_piGenerates a Synthetic c-LDA Corpus (given the pi) matrix)
HEntropy
JSDJensen-Shannon Divergence (pairwise)
JSD.matrixJensen-Shannon Divergence (for more than two distributions)
KLDKullback-Leibler Divergence
lda_cgsLDA: Collapsed Gibbs Sampler with Perplexity Computation
news16 Newsgroups Dataset
nipsNIPS 00-18 Dataset
normalizeNormalizes a given matrix
plot_meshgridPlot a meshgrid
read_docsRead documents
sample_antoniakSamples from the Antoniak distribution
sample_dirichletSamples from a Dirichlet distribution given a hyperparameter
sample_multinomialA speedy sampling from a multimomial distribution
vectorize_docsVectorize the documents
yelpYelp Dataset
clintpgeorge/clda documentation built on May 13, 2019, 8 p.m.