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Update README.rst
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README.rst

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@@ -28,12 +28,14 @@ like word2vec. We build a model that builds both word and document
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topics, makes them interpreable, makes topics over clients, times,
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and documents, and makes them supervised topics.
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Warning: this code is a big series of experiments. It's research software,
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*Warning*: this code is a big series of experiments. It's research software,
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and we've tried to make it simple to modify lda2vec and to play around with
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your own custom topic models. However, it's still research software.
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I wouldn't run this in production, Windows, and I'd only use it after you've
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decided both word2vec and LDA are inadequate and you'd like to tinker with your
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own cool models :)
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own cool models :) That said, I don't want to discourage experimentation:
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there's some limited documentation, a modicum of unit tests, and some
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interactive examples to get you started.
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