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.
98 lines
2.7 KiB
C#
98 lines
2.7 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 © Diego Catalano, 2015
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// diego.catalano at live.com
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//
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// Copyright 2015 Haifeng Li
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// haifeng.hli at gmail.com
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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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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/// Thin Spline Plate Kernel.
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/// </summary>
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///
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/// <remarks>
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/// Thin plate splines (TPS) are a spline-based technique for data interpolation and smoothing.
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/// </remarks>
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///
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[Serializable]
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public sealed class ThinSplinePlate : KernelBase, IKernel, ICloneable
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{
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private double sigma;
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/// <summary>
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/// Gets or sets the sigma constant for this kernel.
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/// </summary>
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///
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public double Sigma
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{
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get { return sigma; }
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set { sigma = Math.Max(value,1); }
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}
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/// <summary>
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/// Constructs a new ThinSplinePlate Kernel.
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/// </summary>
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///
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/// <param name="sigma">The value for sigma.</param>
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///
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public ThinSplinePlate(double sigma)
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{
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Sigma = sigma;
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}
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/// <summary>
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/// Thin Spline Plate 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 r = 0;
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for (int i = 0; i < x.Length; i++)
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{
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double dxy = x[i] - y[i];
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r += dxy * dxy;
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}
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return r / (sigma * sigma) * Math.Log(Math.Sqrt(r) / sigma);
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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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