estimators: Tool for managing probability estimation

[ bsd3, library, natural-language-processing ] [ Propose Tags ]

This library provides data structures for collecting counts and estimating distributions from observed data. It is designed for natural language systems that need to handle large, discrete observation sets and perform smoothing.

Modules

[Last Documentation]

  • NLP
    • Probability
      • NLP.Probability.ConditionalDistribution
      • NLP.Probability.Distribution
      • Example
        • NLP.Probability.Example.Trigram
      • NLP.Probability.Observation

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testing

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Versions [RSS] 0.1, 0.1.1, 0.1.4
Dependencies base (>=3 && <4), binary, containers (>=0.1 && <0.3), HUnit, list-tries, pretty, prettyclass, QuickCheck (>=2), test-framework, test-framework-hunit, test-framework-quickcheck2, text [details]
License BSD-3-Clause
Author Sasha Rush
Maintainer <srush@mit.edu>
Category Natural Language Processing
Uploaded by SashaRush at 2009-10-22T16:21:49Z
Distributions
Reverse Dependencies 1 direct, 0 indirect [details]
Executables hstestprobdist
Downloads 2530 total (8 in the last 30 days)
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Status Docs not available [build log]
All reported builds failed as of 2016-12-31 [all 6 reports]