Bump gensim from 3.8.3 to 4.1.0

[dependabot]

Bumps gensim from 3.8.3 to 4.1.0.

Release notes

Sourced from gensim's releases.

4.1.0, 2021-08-15

Gensim 4.1 brings two major new functionalities:

• Ensemble LDA for robust training, selection and comparison of LDA models.
• FastSS module for super fast Levenshtein "fuzzy search" queries. Used e.g. for "soft term similarity" calculations.

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:

... (truncated)

Changelog

Sourced from gensim's changelog.

4.1.0, 2021-08-15

Gensim 4.1 brings two major new functionalities:

• Ensemble LDA for robust training, selection and comparison of LDA models.
• FastSS module for super fast Levenshtein "fuzzy search" queries. Used e.g. for "soft term similarity" calculations.

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:

... (truncated)

Commits

• 109c88e Merge branch 'release-4.1.0'
• 1bb426a patch docs/src/conf.py
• 6542080 update changelog for version 4.1.0
• 4c48968 bumped version to 4.1.0
• 15fb53f Update CHANGELOG.md (#3214)
• 247da47 Tidy up KeyedVectors.most_similar() API (#3000)
• 6129a24 Isolate generic preprocessing functions (#3180)
• 266a014 Merge pull request #3203 from RaRe-Technologies/changelog42
• 3d1c7b8 avoid github API throttling
• 11c3fba hanging indent + improve docs
• Additional commits viewable in compare view

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[dependabot]

Superseded by #261.