mirror of
https://github.com/hanzoai/jube-fork.git
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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.
253 lines
8.5 KiB
C#
253 lines
8.5 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.Analysis
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{
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using System;
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using System.ComponentModel;
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using Accord.Math;
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using Accord.Statistics.Distributions;
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using Accord.Statistics.Testing;
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using Accord.Compat;
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/// <summary>
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/// Goodness-of-fit result for a given distribution.
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/// </summary>
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///
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[Serializable]
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public class GoodnessOfFit : IComparable<GoodnessOfFit>, IComparable,
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IFormattable
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{
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private DistributionAnalysis analysis;
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private int index;
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internal GoodnessOfFit(DistributionAnalysis analysis, int index)
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{
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this.analysis = analysis;
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this.index = index;
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}
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/// <summary>
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/// Gets the analysis that has produced this measure.
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/// </summary>
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///
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[Browsable(false)]
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public DistributionAnalysis Analysis
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{
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get { return analysis; }
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}
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/// <summary>
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/// Gets the variable's index.
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/// </summary>
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///
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public int Index
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{
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get { return index; }
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}
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/// <summary>
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/// Gets the distribution name
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/// </summary>
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///
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public string Name
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{
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get { return analysis.DistributionNames[index]; }
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}
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/// <summary>
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/// Gets (a clone of) the measured distribution.
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/// </summary>
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///
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/// <value>
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/// The distribution associated with this good-of-fit measure.
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/// </value>
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///
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public IFittableDistribution<double> Distribution
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{
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get { return (IFittableDistribution<double>)analysis.Distributions[index].Clone(); }
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}
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/// <summary>
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/// Gets the value of the Kolmogorov-Smirnov statistic.
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/// </summary>
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///
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/// <value>
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/// The Kolmogorov-Smirnov for the <see cref="Distribution"/>.
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/// </value>
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///
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public double KolmogorovSmirnov
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{
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get
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{
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if (analysis.KolmogorovSmirnov[index] == null)
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return Double.NaN;
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return analysis.KolmogorovSmirnov[index].Statistic;
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}
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}
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/// <summary>
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/// Gets the rank of this distribution according to the
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/// <see cref="KolmogorovSmirnovTest">Kolmogorov-Smirnov test</see>.
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/// </summary>
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///
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/// <value>
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/// An integer value where 0 indicates most probable.
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/// </value>
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///
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public int KolmogorovSmirnovRank
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{
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get { return analysis.KolmogorovSmirnovRank[index]; }
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}
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/// <summary>
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/// Gets the value of the Chi-Square statistic.
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/// </summary>
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///
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/// <value>
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/// The Chi-Square for the <see cref="Distribution"/>.
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/// </value>
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///
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public double ChiSquare
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{
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get
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{
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if (analysis.ChiSquare[index] == null)
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return Double.NaN;
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return analysis.ChiSquare[index].Statistic;
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}
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}
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/// <summary>
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/// Gets the rank of this distribution according to the
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/// <see cref="ChiSquareTest">Chi-Square test</see>.
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/// </summary>
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///
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/// <value>
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/// An integer value where 0 indicates most probable.
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/// </value>
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///
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public int ChiSquareRank
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{
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get { return analysis.ChiSquareRank[index]; }
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}
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/// <summary>
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/// Gets the value of the Anderson-Darling statistic.
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/// </summary>
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///
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/// <value>
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/// The Anderson-Darling for the <see cref="Distribution"/>.
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/// </value>
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///
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public double AndersonDarling
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{
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get
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{
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if (analysis.AndersonDarling[index] == null)
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return Double.NaN;
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return analysis.AndersonDarling[index].Statistic;
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}
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}
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/// <summary>
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/// Gets the rank of this distribution according to the
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/// <see cref="AndersonDarlingTest">Anderson-Darling test</see>.
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/// </summary>
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///
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/// <value>
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/// An integer value where 0 indicates most probable.
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/// </value>
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///
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public int AndersonDarlingRank
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{
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get { return analysis.AndersonDarlingRank[index]; }
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}
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/// <summary>
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/// Compares the current object with another object of the same type.
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/// </summary>
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///
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/// <param name="other">An object to compare with this object.</param>
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///
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/// <returns>
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/// A value that indicates the relative order of the objects being compared. The return value
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/// has the following meanings: Value Meaning Less than zero This object is less than the
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/// <paramref name="other" /> parameter.Zero This object is equal to <paramref name="other" />.
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/// Greater than zero This object is greater than <paramref name="other" />.
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/// </returns>
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///
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public int CompareTo(GoodnessOfFit other)
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{
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return ChiSquareRank.CompareTo(other.ChiSquareRank);
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}
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/// <summary>
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/// Compares the current instance with another object of the same type and returns an
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/// integer that indicates whether the current instance precedes, follows, or occurs in
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/// the same position in the sort order as the other object.
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/// </summary>
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///
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/// <param name="obj">An object to compare with this instance.</param>
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///
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/// <returns>
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/// A value that indicates the relative order of the objects being compared. The return
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/// value has these meanings: Value Meaning Less than zero This instance precedes <paramref name="obj" />
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/// in the sort order. Zero This instance occurs in the same position in the sort order as
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/// <paramref name="obj" />. Greater than zero This instance follows <paramref name="obj" />
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/// in the sort order.
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/// </returns>
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///
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public int CompareTo(object obj)
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{
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return CompareTo(obj as GoodnessOfFit);
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}
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/// <summary>
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/// Returns a <see cref="System.String" /> that represents this instance.
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/// </summary>
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///
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/// <returns>A <see cref="System.String" /> that represents this instance.</returns>
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///
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public override string ToString()
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{
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return analysis.Distributions[index].ToString();
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}
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/// <summary>
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/// Returns a <see cref="System.String" /> that represents this instance.
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/// </summary>
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/// <param name="format">The format to use.-or- A null reference (Nothing in Visual Basic) to use the default format defined for the type of the <see cref="T:System.IFormattable" /> implementation.</param>
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/// <param name="formatProvider">The provider to use to format the value.-or- A null reference (Nothing in Visual Basic) to obtain the numeric format information from the current locale setting of the operating system.</param>
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/// <returns>A <see cref="System.String" /> that represents this instance.</returns>
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public string ToString(string format, IFormatProvider formatProvider)
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{
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var dist = analysis.Distributions[index];
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var fmt = dist as IFormattable;
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if (fmt != null)
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return fmt.ToString(format, formatProvider);
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return dist.ToString();
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}
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}
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}
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