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.
113 lines
3.7 KiB
C#
113 lines
3.7 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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using System;
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using System.Collections.Generic;
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using Accord.Compat;
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/// <summary>
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/// Base class for tree structures.
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/// </summary>
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///
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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 Tree<TNode> : IEnumerable<TNode>
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where TNode : TreeNode<TNode>
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{
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/// <summary>
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/// Gets the root node of this tree.
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/// </summary>
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///
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public TNode Root { get; protected set; }
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/// <summary>
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/// Returns an enumerator that iterates through the collection.
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/// </summary>
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///
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/// <returns>
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/// A <see cref="T:System.Collections.Generic.IEnumerator`1" /> that can be used to iterate through the collection.
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/// </returns>
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///
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public IEnumerator<TNode> GetEnumerator()
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{
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foreach (var node in Traverse(TreeTraversal.DepthFirst))
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yield return node;
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}
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/// <summary>
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/// Traverse the tree using a <see cref="TreeTraversal">tree traversal
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/// method</see>. Can be iterated with a foreach loop.
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/// </summary>
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///
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/// <param name="method">The tree traversal method. Common methods are
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/// available in the <see cref="TreeTraversal"/>static class.</param>
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///
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/// <returns>An <see cref="IEnumerable{T}"/> object which can be used to
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/// traverse the tree using the chosen traversal method.</returns>
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///
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public IEnumerable<TNode> Traverse(TraversalMethod<TNode> method)
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{
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return new InnerTreeTraversal(this, method);
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}
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/// <summary>
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/// Returns an enumerator that iterates through the tree.
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/// </summary>
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///
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/// <returns>
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/// An <see cref="T:System.Collections.IEnumerator"/> object that can be used to iterate through the collection.
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/// </returns>
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///
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System.Collections.IEnumerator System.Collections.IEnumerable.GetEnumerator()
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{
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return GetEnumerator();
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}
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private class InnerTreeTraversal : IEnumerable<TNode>
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{
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private Tree<TNode> tree;
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private TraversalMethod<TNode> method;
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public InnerTreeTraversal(Tree<TNode> tree, TraversalMethod<TNode> method)
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{
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this.tree = tree;
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this.method = method;
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}
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public IEnumerator<TNode> GetEnumerator()
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{
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return method(tree);
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}
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System.Collections.IEnumerator System.Collections.IEnumerable.GetEnumerator()
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{
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return method(tree);
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}
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}
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}
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} |