TextRegression
0.1-3Predict continuous valued outputs associated with text documents.
Overview
Predict continuous valued outputs associated with text documents. The input corpus of text documents is transformed into a document-term matrix (DTM) and then a regularized linear regression is fit that uses this matrix as predictors to predict the continuous valued output. The corpus's terms, coefficients for all terms and an estimate of the model's predictive power are returned in a list.
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Documentation
- Examples that run
- 67%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 33%
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Code & Tests
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 3.1.0 released · 2014-04-10
- archivedRemoved from CRAN2013-08-13the maintainer was unable to update it for changes in packages it depends on
- RR 3.0.0 released · 2013-04-03
- 0.1-32012-05-12 · diff ↗
- RR 2.15.0 released · 2012-03-30
- RR 2.14.0 released · 2011-10-31
- 0.1-12011-10-30
- RR 2.13.0 released · 2011-04-13
Package metadata
- Total releases
- 2
- License
- Artistic-2.0 OSI
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- not tracked yet
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