github piskvorky/gensim 4.1.0
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latest releases: 4.3.2, 4.3.1, 4.3.0...
2 years ago

4.1.0, 2021-08-15

Gensim 4.1 brings two major new functionalities:

There are several minor changes that are not backwards compatible with previous versions of Gensim.
The affected functionality is relatively less used, so it is unlikely to affect most users, so we have opted to not require a major version bump.
Nevertheless, we describe them below.

Improved parameter edge-case handling in KeyedVectors most_similar and most_similar_cosmul methods

We now handle both positive and negative keyword parameters consistently.
They may now be either:

  1. A string, in which case the value is reinterpreted as a list of one element (the string value)
  2. A vector, in which case the value is reinterpreted as a list of one element (the vector)
  3. A list of strings
  4. A list of vectors

So you can now simply do: 

    model.most_similar(positive='war', negative='peace')

instead of the slightly more involved 

model.most_similar(positive=['war'], negative=['peace'])

Both invocations remain correct, so you can use whichever is most convenient.
If you were somehow expecting gensim to interpret the strings as a list of characters, e.g. 

model.most_similar(positive=['w', 'a', 'r'], negative=['p', 'e', 'a', 'c', 'e'])

then you will need to specify the lists explicitly in gensim 4.1.

Deprecated obsolete step parameter from doc2vec

With the newer version, do this: 

model.infer_vector(..., epochs=123)

instead of this: 

model.infer_vector(..., steps=123)

Plus a large number of smaller improvements and fixes, as usual.

⚠️ If migrating from old Gensim 3.x, read the Migration guide first.

👍 New features

  • #3169: Implement shrink_windows argument for Word2Vec, by @M-Demay
  • #3163: Optimize word mover distance (WMD) computation, by @flowlight0
  • #3157: New KeyedVectors.vectors_for_all method for vectorizing all words in a dictionary, by @Witiko
  • #3153: Vectorize word2vec.predict_output_word for speed, by @M-Demay
  • #3146: Use FastSS for fast kNN over Levenshtein distance, by @Witiko
  • #3128: Materialize and copy the corpus passed to SoftCosineSimilarity, by @Witiko
  • #3115: Make LSI dispatcher CLI param for number of jobs optional, by @robguinness
  • #3091: LsiModel: Only log top words that actually exist in the dictionary, by @kmurphy4
  • #2980: Added EnsembleLda for stable LDA topics, by @sezanzeb
  • #2978: Optimize performance of Author-Topic model, by @horpto
  • #3000: Tidy up KeyedVectors.most_similar() API, by @simonwiles

📚 Tutorials and docs

🔴 Bug fixes

  • #3178: Fix Unicode string incompatibility in gensim.similarities.fastss.editdist, by @Witiko
  • #3174: Fix loading Phraser models stored in Gensim 3.x into Gensim 4.0, by @emgucv
  • #3136: Fix indexing error in word2vec_inner.pyx, by @bluekura
  • #3131: Add missing import to NMF docs and models/init.py, by @properGrammar
  • #3116: Fix bug where saved Phrases model did not load its connector_words, by @aloknayak29
  • #2830: Fixed KeyError in coherence model, by @pietrotrope

⚠️ Removed functionality & deprecations

  • #3176: Eliminate obsolete step parameter from doc2vec infer_vector and similarity_unseen_docs, by @rock420
  • #2965: Remove strip_punctuation2 alias of strip_punctuation, by @sciatro
  • #3180: Move preprocessing functions from gensim.corpora.textcorpus and gensim.corpora.lowcorpus to gensim.parsing.preprocessing, by @rock420

🔮 Testing, CI, housekeeping

  • #3156: Update Numpy minimum version to 1.17.0, by @PrimozGodec
  • #3143: replace _mul function with explicit casts, by @mpenkov
  • #2952: Allow newer versions of the Morfessor module for the tests, by @pabs3
  • #2965: Remove strip_punctuation2 alias of strip_punctuation, by @sciatro

4.0.1, 2021-04-01

Bugfix release to address issues with Wheels on Windows:

4.0.0, 2021-03-24

⚠️ Gensim 4.0 contains breaking API changes! See the Migration guide to update your existing Gensim 3.x code and models.

Gensim 4.0 is a major release with lots of performance & robustness improvements, and a new website.

Main highlights

  • Massively optimized popular algorithms the community has grown to love: fastText, word2vec, doc2vec, phrases:

    a. Efficiency

    model 3.8.3: wall time / peak RAM / throughput 4.0.0: wall time / peak RAM / throughput
    fastText 2.9h / 4.11 GB / 822k words/s 2.3h / 1.26 GB / 914k words/s
    word2vec 1.7h / 0.36 GB / 1685k words/s 1.2h / 0.33 GB / 1762k words/s

    In other words, fastText now needs 3x less RAM (and is faster); word2vec has 2x faster init (and needs less RAM, and is faster); detecting collocation phrases is 2x faster. (4.0 benchmarks)

    b. Robustness. We fixed a bunch of long-standing bugs by refactoring the internal code structure (see 🔴 Bug fixes below)

    c. Simplified OOP model for easier model exports and integration with TensorFlow, PyTorch &co.

    These improvements come to you transparently aka "for free", but see Migration guide for some changes that break the old Gensim 3.x API. Update your code accordingly.

  • Dropped a bunch of externally contributed modules and wrappers: summarization, pivoted TFIDF, Mallet…

    • Code quality was not up to our standards. Also there was no one to maintain these modules, answer user questions, support them.

      So rather than let them rot, we took the hard decision of removing these contributed modules from Gensim. If anyone's interested in maintaining them, please fork & publish into your own repo. They can live happily outside of Gensim.

  • Dropped Python 2. Gensim 4.0 is Py3.6+. Read our Python version support policy.

    • If you still need Python 2 for some reason, stay at Gensim 3.8.3.

  • A new Gensim website – finally! 🙃

So, a major clean-up release overall. We're happy with this tighter, leaner and faster Gensim.

This is the direction we'll keep going forward: less kitchen-sink of "latest academic algorithms", more focus on robust engineering, targetting concrete NLP & document similarity use-cases.

👍 New features

📚 Tutorials and docs

🔴 Bug fixes

  • #2891: Fix fastText word-vectors with ngrams off, by @gojomo
  • #2907: Fix doc2vec crash for large sets of doc-vectors, by @gojomo
  • #2899: Fix similarity bug in NMSLIB indexer, by @piskvorky
  • #2899: Fix deprecation warnings in Annoy integration, by @piskvorky
  • #2901: Fix inheritance of WikiCorpus from TextCorpus, by @jenishah
  • #2940: Fix deprecations in SoftCosineSimilarity, by @Witiko
  • #2944: Fix save_facebook_model failure after update-vocab & other initialization streamlining, by @gojomo
  • #2846: Fix for Python 3.9/3.10: remove xml.etree.cElementTree, by @hugovk
  • #2973: phrases.export_phrases() doesn't yield all bigrams, by @piskvorky
  • #2942: Segfault when training doc2vec, by @gojomo
  • #3041: Fix RuntimeError in export_phrases (change defaultdict to dict), by @thalishsajeed
  • #3059: Fix race condition in FastText tests, by @sleepy-owl

⚠️ Removed functionality & deprecations

🔮 Testing, CI, housekeeping

4.0.0.rc1, 2021-03-19

⚠️ Gensim 4.0 contains breaking API changes! See the Migration guide to update your existing Gensim 3.x code and models.

Gensim 4.0 is a major release with lots of performance & robustness improvements and a new website.

Main highlights (see also 👍 Improvements below)

  • Massively optimized popular algorithms the community has grown to love: fastText, word2vec, doc2vec, phrases:

    a. Efficiency

    model 3.8.3: wall time / peak RAM / throughput 4.0.0: wall time / peak RAM / throughput
    fastText 2.9h / 4.11 GB / 822k words/s 2.3h / 1.26 GB / 914k words/s
    word2vec 1.7h / 0.36 GB / 1685k words/s 1.2h / 0.33 GB / 1762k words/s

    In other words, fastText now needs 3x less RAM (and is faster); word2vec has 2x faster init (and needs less RAM, and is faster); detecting collocation phrases is 2x faster. (4.0 benchmarks)

    b. Robustness. We fixed a bunch of long-standing bugs by refactoring the internal code structure (see 🔴 Bug fixes below)

    c. Simplified OOP model for easier model exports and integration with TensorFlow, PyTorch &co.

    These improvements come to you transparently aka "for free", but see Migration guide for some changes that break the old Gensim 3.x API. Update your code accordingly.

  • Dropped a bunch of externally contributed modules: summarization, pivoted TFIDF normalization, FIXME.

    • Code quality was not up to our standards. Also there was no one to maintain them, answer user questions, support these modules.

      So rather than let them rot, we took the hard decision of removing these contributed modules from Gensim. If anyone's interested in maintaining them please fork into your own repo, they can live happily outside of Gensim.

  • Dropped Python 2. Gensim 4.0 is Py3.6+. Read our Python version support policy.

    • If you still need Python 2 for some reason, stay at Gensim 3.8.3.

  • A new Gensim website – finally! 🙃

So, a major clean-up release overall. We're happy with this tighter, leaner and faster Gensim.

This is the direction we'll keep going forward: less kitchen-sink of "latest academic algorithms", more focus on robust engineering, targetting common concrete NLP & document similarity use-cases.

🌟 New Features

🔴 Bug fixes

📚 Tutorial and doc improvements

  • fix various documentation warnings (mpenkov, #3077)
  • Fix broken link in run_doc how-to (sezanzeb, #2991)
  • Point WordEmbeddingSimilarityIndex documentation to gensim.similarities (Witiko, #3003)
  • Make the link to the Gensim 3.8.3 documentation dynamic (Witiko, #2996)

⚠️ Removed functionality

🔮 Miscellaneous

4.0.0beta, 2020-10-31

⚠️ Gensim 4.0 contains breaking API changes! See the Migration guide to update your existing Gensim 3.x code and models.

Gensim 4.0 is a major release with lots of performance & robustness improvements and a new website.

Main highlights (see also 👍 Improvements below)

  • Massively optimized popular algorithms the community has grown to love: fastText, word2vec, doc2vec, phrases:

    a. Efficiency

    model 3.8.3: wall time / peak RAM / throughput 4.0.0: wall time / peak RAM / throughput
    fastText 2.9h / 4.11 GB / 822k words/s 2.3h / 1.26 GB / 914k words/s
    word2vec 1.7h / 0.36 GB / 1685k words/s 1.2h / 0.33 GB / 1762k words/s

    In other words, fastText now needs 3x less RAM (and is faster); word2vec has 2x faster init (and needs less RAM, and is faster); detecting collocation phrases is 2x faster. (4.0 benchmarks)

    b. Robustness. We fixed a bunch of long-standing bugs by refactoring the internal code structure (see 🔴 Bug fixes below)

    c. Simplified OOP model for easier model exports and integration with TensorFlow, PyTorch &co.

    These improvements come to you transparently aka "for free", but see Migration guide for some changes that break the old Gensim 3.x API. Update your code accordingly.

  • Dropped a bunch of externally contributed modules: summarization, pivoted TFIDF normalization, FIXME.

    • Code quality was not up to our standards. Also there was no one to maintain them, answer user questions, support these modules.

      So rather than let them rot, we took the hard decision of removing these contributed modules from Gensim. If anyone's interested in maintaining them please fork into your own repo, they can live happily outside of Gensim.

  • Dropped Python 2. Gensim 4.0 is Py3.6+. Read our Python version support policy.

    • If you still need Python 2 for some reason, stay at Gensim 3.8.3.

  • A new Gensim website – finally! 🙃

So, a major clean-up release overall. We're happy with this tighter, leaner and faster Gensim.

This is the direction we'll keep going forward: less kitchen-sink of "latest academic algorithms", more focus on robust engineering, targetting common concrete NLP & document similarity use-cases.

Why pre-release?

This 4.0.0beta pre-release is for users who want the cutting edge performance and bug fixes. Plus users who want to help out, by testing and providing feedback: code, documentation, workflows… Please let us know on the mailing list!

Install the pre-release with: 

pip install --pre --upgrade gensim

What will change between this pre-release and a "full" 4.0 release?

Production stability is important to Gensim, so we're improving the process of upgrading already-trained saved models. There'll be an explicit model upgrade script between each 4.n to 4.(n+1) Gensim release. Check progress here.

👍 Improvements

📚 Tutorials and docs

🔴 Bug fixes

  • #2891: Fix fastText word-vectors with ngrams off, by @gojomo
  • #2907: Fix doc2vec crash for large sets of doc-vectors, by @gojomo
  • #2899: Fix similarity bug in NMSLIB indexer, by @piskvorky
  • #2899: Fix deprecation warnings in Annoy integration, by @piskvorky
  • #2901: Fix inheritance of WikiCorpus from TextCorpus, by @jenishah
  • #2940; Fix deprecations in SoftCosineSimilarity, by @Witiko
  • #2944: Fix save_facebook_model failure after update-vocab & other initialization streamlining, by @gojomo
  • #2846: Fix for Python 3.9/3.10: remove xml.etree.cElementTree, by @hugovk
  • #2973: phrases.export_phrases() doesn't yield all bigrams
  • #2942: Segfault when training doc2vec

⚠️ Removed functionality & deprecations

  • #6: No more binary wheels for x32 platforms, by menshikh-iv
  • #2899: Renamed overly broad similarities.index to the more appropriate similarities.annoy, by @piskvorky
  • #2958: Remove gensim.summarization subpackage, docs and test data, by @mpenkov
  • #2926: Rename num_words to topn in dtm_coherence, by @MeganStodel
  • #2937: Remove Keras dependency, by @piskvorky
  • Removed all code, methods, attributes and functions marked as deprecated in Gensim 3.8.3.
  • Removed pattern dependency (PR #3012, @mpenkov). If you need to lemmatize, do it prior to passing the corpus to gensim.
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