mirror of
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richard-churchman
cc0a2bee21
Included open-source Accord.net library code natively to the solution given the deprecated state of that project. Accord.net will be supported inside Jube for own needs (such as upgrading to .Net 7+). Accord.net libraries modified to compile to .Net 6. Modified Accord.net libraries to better support Newtonsoft Json.net serialisation. Included annotations in the Accord.net libraries to house important dependency statistics. Serialised json can be used independently of Jube to recall a Neural Network. Removal of Binary Serializer totally as a precursor to the projects support of .Net 7+. Extensive bug fixing in crucial functions of Neural Network training and recall. While this part of the system remains in Alpha, it is substantially more fit for purpose.
84 lines
4.1 KiB
C#
84 lines
4.1 KiB
C#
// Accord Statistics Library
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// The Accord.NET Framework
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// http://accord-framework.net
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//
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// Copyright © César Souza, 2009-2017
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// cesarsouza at gmail.com
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//
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// This library is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 2.1 of the License, or (at your option) any later version.
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//
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// This library is distributed in the hope that it will be useful,
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// but WITHOUT ANY WARRANTY; without even the implied warranty of
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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// Lesser General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License along with this library; if not, write to the Free Software
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// Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA
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//
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namespace Accord.Statistics.Distributions
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{
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using Accord.Statistics.Distributions.Multivariate;
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using Accord.Statistics.Distributions.Univariate;
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using System.Runtime.CompilerServices;
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/// <summary>
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/// Contains more than 40 statistical distributions, with support
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/// for most probability distribution measures and estimation methods.
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/// </summary>
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///
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/// <remarks>
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/// <para>
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/// This namespace contains a huge collection of probability distributions, ranging the from the common
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/// and simple <see cref="NormalDistribution">Normal (Gaussian) </see> and <see cref="PoissonDistribution">
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/// Poisson</see> distributions to <see cref="InverseWishartDistribution">Inverse-Wishart</see> and
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/// <see cref="MultivariateMixture{T}">multivariate mixture distributions</see>, including many specialized
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/// univariate distributions used in <see cref="Accord.Statistics.Testing">statistical hypothesis testing</see>.
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/// Some of those distributions include the <see cref="MannWhitneyDistribution"/>, <see cref="TDistribution"/>,
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/// <see cref="WilcoxonDistribution"/>, <see cref="KolmogorovSmirnovDistribution"/> and many others.</para>
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///
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/// <para>
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/// For a complete list of all <see cref="Accord.Statistics.Distributions.Univariate">
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/// univariate probability distributions</see>, check the <see cref="Accord.Statistics.Distributions.Univariate"/>
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/// namespace. For a complete list of all <see cref="Accord.Statistics.Distributions.Multivariate">
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/// multivariate distributions</see>, please see the <see cref="Accord.Statistics.Distributions.Multivariate"/>
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/// namespace.</para>
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///
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/// <para>
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/// A list of <see cref="Accord.Statistics.Distributions.DensityKernels.IDensityKernel">density kernels</see>
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/// such as the <see cref="Accord.Statistics.Distributions.DensityKernels.GaussianKernel">Gaussian kernel</see>
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/// and the <see cref="Accord.Statistics.Distributions.DensityKernels.EpanechnikovKernel">Epanechnikov kernel</see>
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/// are available in the <see cref="Accord.Statistics.Distributions.DensityKernels"/> namespace. </para>
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///
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///
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/// <para>
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/// The namespace class diagram is shown below. </para>
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/// <img src="..\diagrams\classes\Accord.Statistics.png" />
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///
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/// <para>
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/// The namespace class diagram for univariate distributions is shown below. </para>
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/// <img src="..\diagrams\classes\Accord.Statistics.Univariate.png" />
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///
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/// <para>
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/// The namespace class diagram for multivariate distributions is shown below. </para>
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/// <img src="..\diagrams\classes\Accord.Statistics.Multivariate.png" />
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/// </remarks>
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///
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///
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/// <seealso cref="Accord.Statistics.Distributions"/>
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/// <seealso cref="Accord.Statistics.Distributions.Univariate"/>
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/// <seealso cref="Accord.Statistics.Distributions.Multivariate"/>
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/// <seealso cref="Accord.Statistics.Distributions.Fitting"/>
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/// <seealso cref="Accord.Statistics.Distributions.DensityKernels"/>
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/// <seealso cref="Accord.Statistics.Testing"/>
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///
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[CompilerGenerated]
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class NamespaceDoc
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{
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}
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}
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