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.
111 lines
3.3 KiB
C#
111 lines
3.3 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.Kernels
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{
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using System;
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using Accord.Compat;
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/// <summary>
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/// Rational Quadratic Kernel.
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/// </summary>
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///
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/// <remarks>
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/// The Rational Quadratic kernel is less computationally intensive than
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/// the Gaussian kernel and can be used as an alternative when using the
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/// Gaussian becomes too expensive.
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/// </remarks>
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///
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[Serializable]
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public sealed class RationalQuadratic : KernelBase, IKernel, IRadialBasisKernel, ICloneable
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{
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double constant;
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/// <summary>
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/// Gets or sets the kernel's constant term.
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/// </summary>
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///
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public double Constant
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{
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get { return constant; }
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set { constant = value; }
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}
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/// <summary>
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/// Constructs a new Rational Quadratic Kernel.
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/// </summary>
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///
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/// <param name="constant">The constant term theta.</param>
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///
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public RationalQuadratic(double constant)
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{
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this.constant = constant;
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}
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/// <summary>
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/// Rational Quadratic Kernel Function
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/// </summary>
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///
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/// <param name="x">Vector <c>x</c> in input space.</param>
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/// <param name="y">Vector <c>y</c> in input space.</param>
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/// <returns>Dot product in feature (kernel) space.</returns>
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///
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public override double Function(double[] x, double[] y)
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{
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double norm = 0.0;
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for (int i = 0; i < x.Length; i++)
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{
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double d = x[i] - y[i];
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norm += d * d;
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}
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return 1.0 - (norm / (norm - constant));
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}
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/// <summary>
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/// Rational Quadratic Kernel Function
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/// </summary>
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///
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/// <param name="z">Distance <c>z</c> in input space.</param>
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///
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/// <returns>Dot product in feature (kernel) space.</returns>
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///
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public double Function(double z)
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{
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return 1.0 - ((z * z) / ((z * z) - constant));
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}
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/// <summary>
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/// Creates a new object that is a copy of the current instance.
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/// </summary>
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///
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/// <returns>
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/// A new object that is a copy of this instance.
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/// </returns>
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///
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public object Clone()
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{
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return MemberwiseClone();
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}
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}
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}
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