87 lines
2.8 KiB
C#
87 lines
2.8 KiB
C#
//Copyright (C) 2005 Richard J. Northedge
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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
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// GNU 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 program; if not, write to the Free Software
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// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
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//This file is based on the DataIndexer.java source file found in the
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//original java implementation of MaxEnt. That source file contains the following header:
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//Copyright (C) 2003 Thomas Morton
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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
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//GNU 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 program; if not, write to the Free Software
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//Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
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using System;
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namespace BotSharp.MachineLearning
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{
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/// <summary>
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/// Object that compresses events in memory and performs feature selection.
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/// </summary>
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public interface ITrainingDataIndexer
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{
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/// <summary>
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/// Gets an array of context data calculated from the training data.
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/// </summary>
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/// <returns>
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/// Array of integer arrays, each containing the context data for an event.
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/// </returns>
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int[][] GetContexts();
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/// <summary>
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/// Gets an array indicating how many times each event is seen.
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/// </summary>
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/// <returns>
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/// Integer array with event frequencies.
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/// </returns>
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int[] GetNumTimesEventsSeen();
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/// <summary>
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/// Gets an outcome list.
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/// </summary>
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/// <returns>
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/// Integer array of outcomes.
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/// </returns>
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int[] GetOutcomeList();
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/// <summary>
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/// Gets an array of predicate labels.
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/// </summary>
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/// <returns>
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/// Array of predicate labels.
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/// </returns>
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string[] GetPredicateLabels();
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/// <summary>
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/// Gets an array of outcome labels.
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/// </summary>
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/// <returns>
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/// Array of outcome labels.
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/// </returns>
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string[] GetOutcomeLabels();
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}
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}
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