This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
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Project Description
Char Classifier

Given a short phrase, train a neural network to classify it based on the characters that it contains.

The trainer takes in a file of phrases (separated by new line) and a file of target values (separated by new line).

To train on the sample data (parts of speech classification):

from phrase_classifier import PhraseClassificationTrainer, PhraseClassifier
p = PhraseClassificationTrainer("sample/words", "sample/parts-of-speech")
p.train([100, 100], 20, 100)"sample", "example-run")

This will save a trained model with the tag 'example-run' in the sample directory. To use that model, run:

k = PhraseClassifier("sample", "example-run")
print k.classify("dog")
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Release History


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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
char_classifer-0.6.0-py2.py3-none-any.whl (6.5 kB) Copy SHA256 Checksum SHA256 2.7 Wheel Feb 26, 2016
char-classifer-0.6.0.tar.gz (5.7 kB) Copy SHA256 Checksum SHA256 Source Feb 26, 2016

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