API Reference

API Reference

Modules:

• interfaces – Core gensim interfaces
  • CorpusABC
    • CorpusABC.load()
    • CorpusABC.save()
    • CorpusABC.save_corpus()
  • SimilarityABC
    • SimilarityABC.load()
    • SimilarityABC.save()
  • TransformationABC
    • TransformationABC.load()
    • TransformationABC.save()
  • TransformedCorpus
    • TransformedCorpus.load()
    • TransformedCorpus.save()
    • TransformedCorpus.save_corpus()
• utils – Various utility functions
  • FakeDict
    • FakeDict.keys()
  • InputQueue
    • InputQueue.close()
    • InputQueue.daemon
    • InputQueue.exitcode
    • InputQueue.ident
    • InputQueue.is_alive()
    • InputQueue.join()
    • InputQueue.kill()
    • InputQueue.pid
    • InputQueue.run()
    • InputQueue.sentinel
    • InputQueue.start()
    • InputQueue.terminate()
  • RepeatCorpus
    • RepeatCorpus.load()
    • RepeatCorpus.save()
  • SaveLoad
    • SaveLoad.load()
    • SaveLoad.save()
  • any2unicode()
  • any2utf8()
  • chunkize()
  • chunkize_serial()
  • copytree_hardlink()
  • deaccent()
  • decode_htmlentities()
  • dict_from_corpus()
  • file_or_filename()
  • getNS()
  • get_max_id()
  • get_my_ip()
  • grouper()
  • identity()
  • is_corpus()
  • make_closing()
  • pickle()
  • pyro_daemon()
  • revdict()
  • simple_preprocess()
  • synchronous()
  • to_unicode()
  • to_utf8()
  • tokenize()
  • toptexts()
  • unpickle()
  • upload_chunked()
• matutils – Math utils
  • Dense2Corpus
  • MmReader
    • MmReader.docbyoffset()
    • MmReader.skip_headers()
  • MmWriter
    • MmWriter.write_corpus()
    • MmWriter.write_vector()
  • Scipy2Corpus
  • Sparse2Corpus
  • any2sparse()
  • corpus2csc()
  • corpus2dense()
  • cossim()
  • dense2vec()
  • full2sparse()
  • full2sparse_clipped()
  • pad()
  • qr_destroy()
  • scipy2sparse()
  • sparse2full()
  • unitvec()
  • zeros_aligned()
• corpora.bleicorpus – Corpus in Blei’s LDA-C format
• corpora.dictionary – Construct word<->id mappings
• corpora.hashdictionary – Construct word<->id mappings
• corpora.lowcorpus – Corpus in List-of-Words format
  • LowCorpus
    • LowCorpus.docbyoffset()
    • LowCorpus.load()
    • LowCorpus.save()
    • LowCorpus.save_corpus()
    • LowCorpus.serialize()
• corpora.mmcorpus – Corpus in Matrix Market format
  • MmCorpus
    • MmCorpus.docbyoffset()
    • MmCorpus.load()
    • MmCorpus.save()
    • MmCorpus.save_corpus()
    • MmCorpus.serialize()
    • MmCorpus.skip_headers()
• corpora.svmlightcorpus – Corpus in SVMlight format
  • SvmLightCorpus
    • SvmLightCorpus.doc2line()
    • SvmLightCorpus.docbyoffset()
    • SvmLightCorpus.line2doc()
    • SvmLightCorpus.load()
    • SvmLightCorpus.save()
    • SvmLightCorpus.save_corpus()
    • SvmLightCorpus.serialize()
• corpora.wikicorpus – Corpus from a Wikipedia dump
• corpora.textcorpus – Building corpora with dictionaries
• corpora.ucicorpus – Corpus in UCI bag-of-words format
• corpora.indexedcorpus – Random access to corpus documents
  • IndexedCorpus
    • IndexedCorpus.load()
    • IndexedCorpus.save()
    • IndexedCorpus.save_corpus()
    • IndexedCorpus.serialize()
  • IndexedCorpus
    • IndexedCorpus.load()
    • IndexedCorpus.save()
    • IndexedCorpus.save_corpus()
    • IndexedCorpus.serialize()
• models.ldamodel – Latent Dirichlet Allocation
• models.ldamallet – Latent Dirichlet Allocation via Mallet
• models.lsimodel – Latent Semantic Indexing
• models.tfidfmodel – TF-IDF model
• models.rpmodel – Random Projections
• models.hdpmodel – Hierarchical Dirichlet Process
• models.logentropy_model – LogEntropy model
• models.lsi_dispatcher – Dispatcher for distributed LSI
• models.lsi_worker – Worker for distributed LSI
• models.lda_dispatcher – Dispatcher for distributed LDA
• models.lda_worker – Worker for distributed LDA
• models.word2vec – Deep learning with word2vec
• similarities.docsim – Document similarity queries
• simserver – Document similarity server