| # Text Classification Engine |
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| Look at the following [tutorial](https://docs.prediction.io/demo/textclassification/) for a Quick Start guide and implementation details. |
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| # Release Information |
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| ## Version 3.1 |
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| Fix DataSource to read "content", "e-mail", and use label "spam" for tutorial data. |
| Fix engine.json for default algorithm setting. |
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| ## Version 2.2 |
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| Modified PreparedData to use MLLib hashing and tf-idf implementations. |
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| ## Version 2.1 |
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| Fixed dot product implementation in the predict methods to work with batch predict method for evaluation. |
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| ## Version 2.0 |
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| Included three different data sets: e-mail spam, 20 newsgroups, and the rotten tomatoes semantic analysis set. Includes Multinomial Logistic Regression algorithm for text classification. |
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| ## Version 1.2 |
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| Fixed import script bug occuring with Python 2. |
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| ## Version 1.1 Changes |
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| Changed data import Python script to pull straight from the [20 newsgroups](http://qwone.com/~jason/20Newsgroups/) page. |
