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

Flags

Automatic Flags

Name	Description	Default
testing	Testing mode, only build minimal components	Disabled

Use -f <flag> to enable a flag, or -f -<flag> to disable that flag. More info

Downloads

estimators-0.1.tar.gz [browse] (Cabal source package)
Package description (as included in the package)

Maintainer's Corner

Package maintainers

SashaRush

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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	2512 total (9 in the last 30 days)
Rating	(no votes yet) [estimated by Bayesian average]
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Status	Docs not available [build log] All reported builds failed as of 2016-12-31 [all 6 reports]