⬆️ Bump gensim from 3.6.0 to 3.7.0

[dependabot-preview]

Bumps gensim from 3.6.0 to 3.7.0.

Release notes

Sourced from gensim's releases.

3.7.0, 2019-01-18

🌟 New features

• Fast Online NMF ([anotherbugmaster](https://github.com/anotherbugmaster), #2007)

  • Benchmark wiki-english-20171001

    Model	Perplexity	Coherence	L2 norm	Train time (minutes)
    LDA	4727.07	-2.514	7.372	138
    NMF	975.74	-2.814	7.265	73
    NMF (with regularization)	985.57	-2.436	7.269	441

  • Simple to use (same interface as LdaModel)

    from gensim.models.nmf import Nmf
    from gensim.corpora import Dictionary
    import gensim.downloader as api
    
    text8 = api.load('text8')
    
    dictionary = Dictionary(text8)
    dictionary.filter_extremes()
    
    corpus = [
        dictionary.doc2bow(doc) for doc in text8
    ]
    
    nmf = Nmf(
        corpus=corpus,
        num_topics=5,
        id2word=dictionary,
        chunksize=2000,
        passes=5,
        random_state=42,
    )
    
    nmf.show_topics()
    """
    [(0, '0.007*"km" + 0.006*"est" + 0.006*"islands" + 0.004*"league" + 0.004*"rate" + 0.004*"female" + 0.004*"economy" + 0.003*"male" + 0.003*"team" + 0.003*"elections"'),
     (1, '0.006*"actor" + 0.006*"player" + 0.004*"bwv" + 0.004*"writer" + 0.004*"actress" + 0.004*"singer" + 0.003*"emperor" + 0.003*"jewish" + 0.003*"italian" + 0.003*"prize"'),
     (2, '0.036*"college" + 0.007*"institute" + 0.004*"jewish" + 0.004*"universidad" + 0.003*"engineering" + 0.003*"colleges" + 0.003*"connecticut" + 0.003*"technical" + 0.003*"jews" + 0.003*"universities"'),
     (3, '0.016*"import" + 0.008*"insubstantial" + 0.007*"y" + 0.006*"soviet" + 0.004*"energy" + 0.004*"info" + 0.003*"duplicate" + 0.003*"function" + 0.003*"z" + 0.003*"jargon"'),
     (4, '0.005*"software" + 0.004*"games" + 0.004*"windows" + 0.003*"microsoft" + 0.003*"films" + 0.003*"apple" + 0.003*"video" + 0.002*"album" + 0.002*"fiction" + 0.002*"characters"')]
    """

  • See also:

    • NMF tutorial
    • Full NMF Benchmark

... (truncated)

Changelog

Sourced from gensim's changelog.

3.7.0, 2019-01-18

🌟 New features

• Fast Online NMF ([anotherbugmaster](https://github.com/anotherbugmaster), #2007)

  • Benchmark wiki-english-20171001

    Model	Perplexity	Coherence	L2 norm	Train time (minutes)
    LDA	4727.07	-2.514	7.372	138
    NMF	975.74	-2.814	7.265	73
    NMF (with regularization)	985.57	-2.436	7.269	441

  • Simple to use (same interface as LdaModel)

    from gensim.models.nmf import Nmf
    from gensim.corpora import Dictionary
    import gensim.downloader as api
    
    text8 = api.load('text8')
    
    dictionary = Dictionary(text8)
    dictionary.filter_extremes()
    
    corpus = [
        dictionary.doc2bow(doc) for doc in text8
    ]
    
    nmf = Nmf(
        corpus=corpus,
        num_topics=5,
        id2word=dictionary,
        chunksize=2000,
        passes=5,
        random_state=42,
    )
    
    nmf.show_topics()
    """
    [(0, '0.007*"km" + 0.006*"est" + 0.006*"islands" + 0.004*"league" + 0.004*"rate" + 0.004*"female" + 0.004*"economy" + 0.003*"male" + 0.003*"team" + 0.003*"elections"'),
     (1, '0.006*"actor" + 0.006*"player" + 0.004*"bwv" + 0.004*"writer" + 0.004*"actress" + 0.004*"singer" + 0.003*"emperor" + 0.003*"jewish" + 0.003*"italian" + 0.003*"prize"'),
     (2, '0.036*"college" + 0.007*"institute" + 0.004*"jewish" + 0.004*"universidad" + 0.003*"engineering" + 0.003*"colleges" + 0.003*"connecticut" + 0.003*"technical" + 0.003*"jews" + 0.003*"universities"'),
     (3, '0.016*"import" + 0.008*"insubstantial" + 0.007*"y" + 0.006*"soviet" + 0.004*"energy" + 0.004*"info" + 0.003*"duplicate" + 0.003*"function" + 0.003*"z" + 0.003*"jargon"'),
     (4, '0.005*"software" + 0.004*"games" + 0.004*"windows" + 0.003*"microsoft" + 0.003*"films" + 0.003*"apple" + 0.003*"video" + 0.002*"album" + 0.002*"fiction" + 0.002*"characters"')]
    """

  • See also:

    • NMF tutorial
    • Full NMF Benchmark

... (truncated)

Commits

• 42e47a3 Merge branch 'release-3.7.0'
• 7d84b7e regenerated C/CPP files with Cython
• dce03de bump CHANGELOG to 3.7.0
• e6d2e09 bump version to 3.7.0
• fabeffe Reduce memory consumption of summarizer (#2298)
• 239856c Online NMF (#2007)
• ea611b4 Replace open() by smart_open() in `gensim.models.fasttext.load_fasttext...
• 5509bd3 unpin visdom back (bug fixed)
• 6e66849 Limit visdom version (avoid py2 issue from the latest visdom release) (#2334)
• a864e02 Add KeyedVectors.relative_cosine_similarity (#2307)
• Additional commits viewable in compare view

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[coveralls]

Pull Request Test Coverage Report for Build 267

• 0 of 0 changed or added relevant lines in 0 files are covered.
• No unchanged relevant lines lost coverage.
• Overall coverage remained the same at 80.801%

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Totals
Change from base Build 265:	0.0%
Covered Lines:	1776
Relevant Lines:	2198

---

💛 - Coveralls

[dependabot-preview]

Looks like gensim is up-to-date now, so this is no longer needed.