| 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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