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.
97 lines
3.5 KiB
C#
97 lines
3.5 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.MachineLearning
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{
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using Accord.Statistics.Distributions.Univariate;
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using System;
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using Accord.Compat;
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/// <summary>
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/// Codebook learning statistics for <see cref="BagOfWords"/> models.
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/// </summary>
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///
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[Serializable]
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public class BagOfWordsStatistics
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{
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/// <summary>
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/// Gets or sets the number of instances (i.e. images or audio signals) in the training set.
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/// </summary>
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///
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/// <value>The number of instances (i.e. images or audio signals).</value>
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///
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public int TotalNumberOfInstances { get; set; }
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/// <summary>
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/// Gets or sets the total number of descriptors seen in the training set.
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/// </summary>
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///
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/// <value>The total number of descriptors.</value>
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///
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public int TotalNumberOfDescriptors { get; set; }
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/// <summary>
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/// Gets or sets the count distribution of the descriptors seen in the training set.
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/// </summary>
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///
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public NormalDistribution TotalNumberOfDescriptorsPerInstance { get; set; }
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/// <summary>
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/// Gets or sets the minimum and maximum number of descriptors per instance seen in the training set.
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/// </summary>
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///
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public IntRange TotalNumberOfDescriptorsPerInstanceRange { get; set; }
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/// <summary>
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/// Gets or sets the number of instances (i.e. images or audio signals)
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/// actually used in the learning of the <see cref="BagOfWords"/>.
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/// </summary>
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///
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/// <value>The number of instances.</value>
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///
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public int NumberOfInstancesTaken { get; set; }
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/// <summary>
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/// Gets or sets the number of descriptors actually used
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/// in the learning of the <see cref="BagOfWords"/>.
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/// </summary>
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///
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/// <value>The total number of descriptors.</value>
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///
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public int NumberOfDescriptorsTaken { get; set; }
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/// <summary>
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/// Gets or sets the count distribution of the descriptors actually
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/// used in the learning of the <see cref="BagOfWords"/>.
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/// </summary>
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///
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public NormalDistribution NumberOfDescriptorsTakenPerInstance { get; set; }
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/// <summary>
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/// Gets or sets the minimum and maximum number of descriptors per instance
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/// actually used in the learning of the <see cref="BagOfWords"/>.
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/// </summary>
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///
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public IntRange NumberOfDescriptorsTakenPerInstanceRange { get; set; }
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}
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} |