| autos-motorcycles | Autos and Motorcycles (C-4) | 
| bop | Birds of Prey (C-9) | 
| calc_class_term_frequency | Calculate class term frequency matrix | 
| calc_doc_cos | Computes cosine scores between documents in a corpus | 
| calc_doc_lengths | Calculate document sizes | 
| calc_doc_tf | Computes term frequency (tf) vectors for documents | 
| calc_tfidf | Calculate TF-IDF values | 
| calc_top_topic_words | Gets the most probable topical words | 
| canis | Canis (C-8) | 
| cats | Cats (C-6) | 
| felines | Felines (C-7) | 
| gen_meshgrid | Generates a mesh-grid | 
| gen_synth_corpus2 | Generates a Corpus with a given (alpha, eta) | 
| gen_synth_corpus_multi_alpha | Generates a Corpus with Multiple (alpha, eta)s | 
| gen_synth_corpus_multi_h | Generates a Corpus with Multiple (alpha, eta)s | 
| ibm-mac | PC Hardware and Mac Hardware (C-5) | 
| ldavem | LDA Variational EM Algorithm | 
| lda_vem | LDA: Variational EM | 
| med-christian-baseball | Medicine, Christianity, and Baseball (C-1) | 
| normalize | Normalizes a given matrix | 
| plot_meshgrid | Plot a meshgrid | 
| read_docs | Read documents | 
| rec | Recreation (C-2) | 
| sample_dirichlet | Samples from a Dirichlet distribution given a hyperparameter | 
| sample_multinomial | A speedy sampling from a multimomial distribution | 
| sci | Science (C-3) | 
| vectorize_docs | Vectorize the documents | 
| whales | Whales | 
| wt | Whales and Tires | 
| wt16 | Whales and Tires (8 documents each) | 
| wt16m | Whales and Tires (8 documents each) | 
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