[WIP] sklearn API for Gensim models#1462
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menshikh-iv merged 36 commits intoAug 18, 2017
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Contributor
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Are you sure there is no memory duplication for doc2vec numpy arrays? can you please run it through a memory profiler. |
tmylk
reviewed
Jul 12, 2017
| if self.gensim_model is None: | ||
| raise NotFittedError("This model has not been fitted yet. Call 'fit' with appropriate arguments before using this method.") | ||
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| # The input as array of array |
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Please call them python lists
Contributor
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Let's aim to merge it this week. The missing things are ipynb and transform tests. |
menshikh-iv
reviewed
Aug 10, 2017
| self.assertEqual(matrix.shape[0], 1) | ||
| self.assertEqual(matrix.shape[1], self.model.size) | ||
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| def testSetGetParams(self): |
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please add checking with the original model too for each "getset" test (same as previous PR)
…into skl_api_gensim
Contributor
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Great @chinmayapancholi13💯 |
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fabriciorsf
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Aug 23, 2017
* created sklearn wrapper for Doc2Vec * PEP8 fix * added 'transform' function and refactored code * updated d2v skl api code * added unittests for sklearn api for d2v model * fixed flake8 errors * added skl api class for Text2Bow model * updated docstring for d2vmodel api * updated text2bow skl api code * added unittests for text2bow skl api class * updated 'testPipeline' and 'testTransform' for text2bow * added 'tokenizer' param to text2bow skl api * updated unittests for text2bow * removed get_params and set_params functions from existing classes * added tfidf api class * added unittests for tfidf api class * flake8 fixes * added skl api for hdpmodel * added unittests for hdp model api class * flake8 fixes * updated hdp api class * added 'testPartialFit' and 'testPipeline' tests for hdp api class * flake8 fixes * added skl API class for phrases * added unit tests for phrases API class * flake8 fixes * added 'testPartialFit' function for 'TestPhrasesTransformer' * updated 'testPipeline' function for 'TestText2BowTransformer' * updated code for transform function for HDP transformer * updated tests as discussed in PR 1473 * added examples for new models in ipynb * unpinned sklearn version for running unit-tests * updated 'Pipeline' initialization format * updated 'Pipeline' initialization format in ipynb
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This PR creates scikit-learn API for the following Gensim models:
The implementation for the following models is still left: