Files
richard-churchman cc0a2bee21 Extensive modifications to the serialisation of Neural Network models to support Newtonsoft Json.net rather than Binary Serializer.
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.
2023-12-24 10:22:22 +01:00

148 lines
4.3 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.Moving
{
using System;
using System.Collections.Generic;
using System.Text;
using Accord.Compat;
/// <summary>
/// Moving-window statistics.
/// </summary>
///
[Serializable]
public class MovingRangeStatistics : IMoving<double>, IEnumerable<double>
{
private Queue<double> values;
/// <summary>
/// Gets the size of the window.
/// </summary>
///
/// <value>The window's size.</value>
///
public int Window { get; private set; }
/// <summary>
/// Gets the number of samples within the window.
/// </summary>
///
/// <value>The number of samples within the window.</value>
///
public int Count { get { return values.Count; } }
/// <summary>
/// Gets the minimum value in the window.
/// </summary>
///
public double Min { get; private set; }
/// <summary>
/// Gets the maximum value in the window.
/// </summary>
///
public double Max { get; private set; }
/// <summary>
/// Initializes a new instance of the <see cref="MovingNormalStatistics"/> class.
/// </summary>
///
/// <param name="windowSize">The size of the moving window.</param>
///
public MovingRangeStatistics(int windowSize)
{
if (windowSize < 0 || windowSize == int.MaxValue)
throw new ArgumentOutOfRangeException("windowSize");
Window = windowSize;
values = new Queue<double>(windowSize + 1);
}
/// <summary>
/// Pushes a value into the window.
/// </summary>
///
public void Push(double value)
{
if (values.Count == Window)
{
values.Dequeue();
}
values.Enqueue(value);
// TODO: Rewrite to avoid iterating on every addition
Min = value;
Max = value;
foreach (double v in values)
{
if (v < Min)
Min = v;
if (v > Max)
Max = v;
}
}
/// <summary>
/// Returns an enumerator that iterates through the collection.
/// </summary>
///
/// <returns>
/// A <see cref="T:System.Collections.Generic.IEnumerator`1"/> that can be used to iterate through the collection.
/// </returns>
///
public IEnumerator<double> GetEnumerator()
{
return values.GetEnumerator();
}
/// <summary>
/// Returns an enumerator that iterates through a collection.
/// </summary>
///
/// <returns>
/// An <see cref="T:System.Collections.IEnumerator"/> object that can be used to iterate through the collection.
/// </returns>
///
System.Collections.IEnumerator System.Collections.IEnumerable.GetEnumerator()
{
return values.GetEnumerator();
}
/// <summary>
/// Removes all elements from the window and resets statistics.
/// </summary>
///
public void Clear()
{
values.Clear();
Min = Max = 0;
}
}
}