Package to create a scikit-learn vectorizer that uses a word2vec model.Has options for mean, max, and sum of vectors. Not properly tested yet, use at your own risk!
Release files for embeddingvectorizer 0.03
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| embeddingvectorizer-0.03.tar.gz | 1.9 kB | Details |
Release files / embeddingvectorizer-0.03.tar.gz
| Download URL | embeddingvectorizer-0.03.tar.gz |
|---|---|
| Size | 1.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
a468ee1553210258bae5e1c001df03b4377a5070493ce68adb58a52b92731dd0
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91e0a48e6d446d45fe8222046a3cc49afafc23df079872bdf9db6949bfa6621d
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Python-urllib/2.7
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