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        "author": "Ekate Kuznetsova",
        "author_email": "char-classify@technekate.com",
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            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.2",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Topic :: Software Development :: Libraries",
            "Topic :: Text Processing"
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        "description": "Char Classifier\n---------\n\nGiven a short phrase, train a neural network to classify it based on the characters that it contains.\n\nThe trainer takes in a file of phrases (separated by new line) and a file of target values (separated by new line).\n\nTo train on the sample data (parts of speech classification):\n\n```\nfrom phrase_classifier import PhraseClassificationTrainer, PhraseClassifier\np = PhraseClassificationTrainer(\"sample/words\", \"sample/parts-of-speech\")\np.train([100, 100], 20, 100)\np.save(\"sample\", \"example-run\")\n```\n\nThis will save a trained model with the tag 'example-run' in the sample directory. To use that model, run:\n\n```\nk = PhraseClassifier(\"sample\", \"example-run\")\nprint k.classify(\"dog\")\n```",
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        "keywords": "deep-learning machine-learning string classifier",
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        "summary": "Neural Network to classify short strings",
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