mirror of
https://github.com/hanzoai/jube-fork.git
synced 2026-10-30 18:33:33 +00:00
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.
122 lines
3.3 KiB
C#
122 lines
3.3 KiB
C#
// Accord Statistics Library
|
|
// The Accord.NET Framework
|
|
// http://accord-framework.net
|
|
//
|
|
// Copyright © César Souza, 2009-2017
|
|
// cesarsouza at gmail.com
|
|
//
|
|
// This library is free software; you can redistribute it and/or
|
|
// modify it under the terms of the GNU Lesser General Public
|
|
// License as published by the Free Software Foundation; either
|
|
// version 2.1 of the License, or (at your option) any later version.
|
|
//
|
|
// This library is distributed in the hope that it will be useful,
|
|
// but WITHOUT ANY WARRANTY; without even the implied warranty of
|
|
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
|
|
// Lesser General Public License for more details.
|
|
//
|
|
// You should have received a copy of the GNU Lesser General Public
|
|
// License along with this library; if not, write to the Free Software
|
|
// Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA
|
|
//
|
|
|
|
namespace Accord.Statistics.Models.Markov
|
|
{
|
|
using System;
|
|
using Accord.Statistics.Models.Markov.Topology;
|
|
using Accord.Math;
|
|
using Accord.Compat;
|
|
|
|
/// <summary>
|
|
/// Base class for Hidden Markov Models. This class cannot
|
|
/// be instantiated.
|
|
/// </summary>
|
|
///
|
|
[Serializable]
|
|
public abstract class BaseHiddenMarkovModel
|
|
{
|
|
|
|
private int states; // number of states
|
|
private object tag;
|
|
|
|
|
|
// Model is defined as M = (A, B, pi)
|
|
private double[][] logA; // Transition probabilities
|
|
private double[] logPi; // Initial state probabilities
|
|
|
|
|
|
|
|
/// <summary>
|
|
/// Constructs a new Hidden Markov Model.
|
|
/// </summary>
|
|
///
|
|
protected BaseHiddenMarkovModel(ITopology topology)
|
|
{
|
|
double[,] a;
|
|
this.states = topology.Create(true, out a, out logPi);
|
|
this.logA = a.ToJagged();
|
|
}
|
|
|
|
|
|
|
|
/// <summary>
|
|
/// Gets the number of states of this model.
|
|
/// </summary>
|
|
///
|
|
public int States
|
|
{
|
|
get { return this.states; }
|
|
}
|
|
|
|
/// <summary>
|
|
/// Gets the log-initial probabilities <c>log(pi)</c> for this model.
|
|
/// </summary>
|
|
///
|
|
[Obsolete("Please use the Initial property instead.")]
|
|
public double[] Probabilities
|
|
{
|
|
get { return this.logPi; }
|
|
}
|
|
|
|
/// <summary>
|
|
/// Gets the log-initial probabilities <c>log(pi)</c> for this model.
|
|
/// </summary>
|
|
///
|
|
public double[] LogInitial
|
|
{
|
|
get { return this.logPi; }
|
|
}
|
|
|
|
/// <summary>
|
|
/// Gets the log-transition matrix <c>log(A)</c> for this model.
|
|
/// </summary>
|
|
///
|
|
[Obsolete("Please use LogTransitions instead.")]
|
|
public double[,] Transitions
|
|
{
|
|
get { return this.logA.ToMatrix(); }
|
|
}
|
|
|
|
/// <summary>
|
|
/// Gets the log-transition matrix <c>log(A)</c> for this model.
|
|
/// </summary>
|
|
///
|
|
public double[][] LogTransitions
|
|
{
|
|
get { return this.logA; }
|
|
}
|
|
|
|
/// <summary>
|
|
/// Gets or sets a user-defined tag associated with this model.
|
|
/// </summary>
|
|
///
|
|
public object Tag
|
|
{
|
|
get { return tag; }
|
|
set { tag = value; }
|
|
}
|
|
|
|
|
|
}
|
|
}
|