Files
jube-fork/Accord.Math/Comparers/CustomComparer`1.cs
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

111 lines
3.5 KiB
C#

// Accord Math 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.Math.Comparers
{
using System;
using System.Collections.Generic;
/// <summary>
/// Custom comparer which accepts any delegate or
/// anonymous function to perform value comparisons.
/// </summary>
///
/// <typeparam name="T">The type of objects to compare.</typeparam>
///
/// <example>
/// <code>
/// // Assume we have values to sort
/// double[] values = { 0, 5, 3, 1, 8 };
///
/// // We can create an ad-hoc sorting rule using
/// Array.Sort(values, new CustomComparer&lt;double>((a, b) => -a.CompareTo(b)));
///
/// // Result will be { 8, 5, 3, 1, 0 }.
/// </code>
/// </example>
///
public class CustomComparer<T> : IComparer<T>, IEqualityComparer<T>
{
private Func<T, T, int> comparer;
/// <summary>
/// Constructs a new <see cref="CustomComparer&lt;T&gt;"/>.
/// </summary>
///
/// <param name="comparer">The comparer function.</param>
///
public CustomComparer(Func<T, T, int> comparer)
{
this.comparer = comparer;
}
/// <summary>
/// Compares two objects and returns a value indicating
/// whether one is less than, equal to, or greater than
/// the other.
/// </summary>
///
/// <param name="x">The first object to compare.</param>
/// <param name="y">The second object to compare.</param>
///
/// <returns>A signed integer that indicates the relative values of x and y.</returns>
///
public int Compare(T x, T y)
{
return comparer(x, y);
}
/// <summary>
/// Determines whether the specified objects are equal.
/// </summary>
///
/// <param name="x">The first object of type T to compare.</param>
/// <param name="y">The second object of type T to compare.</param>
///
/// <returns>true if the specified objects are equal; otherwise, false.</returns>
///
public bool Equals(T x, T y)
{
return comparer(x, y) == 0;
}
/// <summary>
/// Returns a hash code for the given object.
/// </summary>
///
/// <param name="obj">The object.</param>
///
/// <returns>
/// A hash code for the given object, suitable for use in
/// hashing algorithms and data structures like a hash table.
/// </returns>
///
public int GetHashCode(T obj)
{
return obj.GetHashCode();
}
}
}