Hackage :: [Package]

HLearn-distributions: Distributions for use with the HLearn library

[ bsd3, data-mining, deprecated, library, machine-learning, statistics ] [ Propose Tags ] [ Report a vulnerability ]
Deprecated

This module is used to estimate statistical distributions from data. It is based on the algebraic properties of the HomTrainer type class from the HLearn-algebra package.

Modules

[Last Documentation]

  • HLearn
    • Models
      • HLearn.Models.Distributions
        • HLearn.Models.Distributions.Common
        • HLearn.Models.Distributions.Kernels
        • Multivariate
          • HLearn.Models.Distributions.Multivariate.Interface
          • Internal
            • HLearn.Models.Distributions.Multivariate.Internal.CatContainer
            • HLearn.Models.Distributions.Multivariate.Internal.Container
            • HLearn.Models.Distributions.Multivariate.Internal.Ignore
            • HLearn.Models.Distributions.Multivariate.Internal.Marginalization
            • HLearn.Models.Distributions.Multivariate.Internal.TypeLens
            • HLearn.Models.Distributions.Multivariate.Internal.Unital
          • HLearn.Models.Distributions.Multivariate.MultiNormal
        • Univariate
          • HLearn.Models.Distributions.Univariate.Binomial
          • HLearn.Models.Distributions.Univariate.Categorical
          • HLearn.Models.Distributions.Univariate.Exponential
          • HLearn.Models.Distributions.Univariate.Geometric
          • Internal
            • HLearn.Models.Distributions.Univariate.Internal.MissingData
            • HLearn.Models.Distributions.Univariate.Internal.Moments
          • HLearn.Models.Distributions.Univariate.KernelDensityEstimator
          • HLearn.Models.Distributions.Univariate.LogNormal
          • HLearn.Models.Distributions.Univariate.Normal
          • HLearn.Models.Distributions.Univariate.Poisson
        • Visualization
          • HLearn.Models.Distributions.Visualization.Gnuplot

Downloads

Maintainer's Corner

Package maintainers

For package maintainers and hackage trustees

Candidates

  • No Candidates
Versions [RSS] 0.0.1, 0.0.1.1, 0.0.1.2, 0.0.1.3, 0.1.0.0, 0.1.0.1, 0.2.1, 0.2.2, 0.2.2.1, 1.0.0, 1.0.0.1, 1.0.0.2, 1.1.0, 1.1.0.1, 1.1.0.2
Dependencies array (>=0.4.0), base (>=3 && <5), ConstraintKinds (>=0.0.1), containers (>=0.5), deepseq (>=1.3.0.1), erf (>=2.0.0.0), gamma (>=0.9.0.2), graphviz (>=2999.16), HLearn-algebra (>=1.0.0.1), HLearn-datastructures (>=1.1), hmatrix (>=0.14), list-extras (>=0.4.1), math-functions (>=0.1.1), MonadRandom (>=0.1.6), normaldistribution (>=1.1.0), process (>=1.1.0.2), QuickCheck (>=2.5.1), statistics (>=0.10.2), template-haskell, vector (>=0.9), vector-th-unbox (>=0.2) [details]
License BSD-3-Clause
Author Mike izbicki
Maintainer mike@izbicki.me
Category Data Mining, Machine Learning, Statistics
Home page http://github.com/mikeizbicki/HLearn/
Bug tracker http://github.com/mikeizbicki/HLearn/issues
Uploaded by MikeIzbicki at 2013-07-27T22:51:11Z
Distributions
Reverse Dependencies 4 direct, 0 indirect [details]
Downloads 13406 total (28 in the last 30 days)
Rating (no votes yet) [estimated by Bayesian average]
Your Rating
  • λ
  • λ
  • λ
Status Docs not available [build log]
All reported builds failed as of 2016-12-20 [all 9 reports]