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
3.6 KiB
C#
111 lines
3.6 KiB
C#
// Accord Machine Learning 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.Collections
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{
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#if !MONO
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using System;
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using System.Linq;
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using System.Collections.Generic;
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using System.Collections;
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using System.Text;
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using Accord.Compat;
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/// <summary>
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/// Base class for <see cref="VPTree"/> nodes.
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/// </summary>
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///
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/// <typeparam name="TPoint">The type for the position vector (e.g. double[]).</typeparam>
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/// <typeparam name="TNode">The class type for the nodes of the tree.</typeparam>
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///
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[Serializable]
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public class VPTreeNodeBase<TPoint, TNode> : BinaryNode<TNode>, IEquatable<TNode> // TODO: Try to remove IEquatable
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where TNode : VPTreeNodeBase<TPoint, TNode>
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{
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private TPoint position;
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private double threshold; // radius(?)
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/// <summary>
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/// Gets or sets the current position for this Vantage-Point Tree Node.
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/// </summary>
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///
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public TPoint Position
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{
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get { return position; }
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set { position = value; }
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}
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/// <summary>
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/// Gets or sets the threshold radius for this node.
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/// </summary>
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///
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public double Threshold
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{
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get { return threshold; }
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set { threshold = value; }
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}
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/// <summary>
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/// Indicates whether the current object is equal to another object of the same type.
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/// </summary>
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/// <param name="other">An object to compare with this object.</param>
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/// <returns>
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/// true if the current object is equal to the <paramref name="other" /> parameter; otherwise, false.
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/// </returns>
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public new bool Equals(TNode other) // TODO: Try to remove IEquatable
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{
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return Object.ReferenceEquals(Position, other.Position);
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}
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/// <summary>
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/// Returns a <see cref="System.String" /> that represents this instance.
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/// </summary>
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/// <returns>
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/// A <see cref="System.String" /> that represents this instance.
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/// </returns>
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public override string ToString()
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{
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StringBuilder sb = new StringBuilder();
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sb.Append("[(");
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var list = Position as IList;
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if (list != null)
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{
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for (int i = 0; i < list.Count; i++)
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{
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sb.Append(list[i]);
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if (i < list.Count - 1)
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sb.Append(",");
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}
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}
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else
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{
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sb.Append(Position);
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}
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sb.AppendFormat("), {0}]", threshold);
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return sb.ToString();
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}
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}
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#endif
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} |