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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.
98 lines
3.2 KiB
C#
98 lines
3.2 KiB
C#
// Accord Math 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.Math
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{
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using System;
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using System.Collections.Generic;
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using System.Linq;
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using System.Runtime.InteropServices;
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public static partial class Matrix
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{
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/// <summary>
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/// Gets the number of rows in a jagged matrix.
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/// </summary>
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///
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/// <typeparam name="T">The type of the elements in the matrix.</typeparam>
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/// <param name="values">The matrix whose number of rows must be computed.</param>
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///
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/// <returns>The number of rows in the matrix.</returns>
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///
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public static int Rows<T>(this IList<IList<T>> values)
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{
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return values.Count;
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}
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/// <summary>
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/// Gets the number of columns in a jagged matrix.
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/// </summary>
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///
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/// <typeparam name="T">The type of the elements in the matrix.</typeparam>
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/// <param name="values">The matrix whose number of rows must be computed.</param>
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///
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/// <returns>The number of columns in the matrix.</returns>
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///
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public static int Columns<T>(this IList<IList<T>> values)
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{
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return values[0].Count;
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}
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/// <summary>
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/// Converts a matrix represented as a nested list of lists into a multi-dimensional matrix.
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/// </summary>
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///
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public static T[,] ToMatrix<T, U>(this IList<IList<T>> values)
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{
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int rows = values.Rows();
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int cols = values.Columns();
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T[,] result = Matrix.Zeros<T>(rows, cols);
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for (int i = 0; i < values.Count; i++)
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for (int j = 0; j < values[i].Count; j++)
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result[i, j] = values[i][j];
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return result;
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}
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/// <summary>
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/// Converts a matrix represented as a nested list of lists into a jagged matrix.
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/// </summary>
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///
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public static T[][] ToJagged<T>(this IList<IList<T>> values)
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{
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int rows = values.Rows();
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int cols = values.Columns();
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T[][] result = Jagged.Zeros<T>(rows, cols);
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for (int i = 0; i < values.Count; i++)
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for (int j = 0; j < values[i].Count; j++)
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result[i][j] = values[i][j];
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return result;
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}
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}
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}
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