Click here to Skip to main content
15,896,475 members
Articles / Artificial Intelligence / Machine Learning

Maximum Entropy Modeling Using SharpEntropy

Rate me:
Please Sign up or sign in to vote.
4.84/5 (42 votes)
9 May 200612 min read 202.3K   6.4K   109  
Presents a Maximum Entropy modeling library, and discusses its usage, with the aid of two examples: a simple example of predicting outcomes, and an English language tokenizer.
//Copyright (C) 2005 Richard J. Northedge
//
// This library is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 2.1 of the License, or (at your option) any later version.
//
// This library is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU Lesser General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.

//This file is based on the DataStream.java source file found in the
//original java implementation of MaxEnt.  That source file contains the following header:

// Copyright (C) 2001 Jason Baldridge and Gann Bierner
//
// This library is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 2.1 of the License, or (at your option) any later version.
//
// This library is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
 
using System;

namespace SharpEntropy
{
	/// <summary>
	/// A interface for objects which can deliver a stream of training data to be
	/// supplied to an ITrainingEventReader. It is not necessary to use a ITrainingDataReader in a
	/// SharpEntropy application, but it can be used to support a wider variety of formats
	/// in which your training data can be held.
	/// </summary>
	/// <author>
	/// Jason Baldridge
	/// </author>
	/// <author>
	/// Richard J. Northedge
	/// </author>
	/// <version>
	/// based on DataStream.java, $Revision: 1.1.1.1 $, $Date: 2001/10/23 14:06:53 $
	/// </version>
	public interface ITrainingDataReader<T>
	{
		/// <summary> 
		/// Returns the next slice of data held in this ITrainingDataReader.
		/// </summary>
		/// <returns>
		/// the object representing the data which is next in this
		/// ITrainingDataReader
		/// </returns>
		T NextToken();
			
		/// <summary> 
		/// Test whether there are any training data items remaining in this ITrainingDataReader.
		/// </summary>
		/// <returns>
		/// true if this ITrainingDataReader has more data tokens
		/// </returns>
		bool HasNext();
	}
}

By viewing downloads associated with this article you agree to the Terms of Service and the article's licence.

If a file you wish to view isn't highlighted, and is a text file (not binary), please let us know and we'll add colourisation support for it.

License

This article has no explicit license attached to it but may contain usage terms in the article text or the download files themselves. If in doubt please contact the author via the discussion board below.

A list of licenses authors might use can be found here


Written By
Web Developer
United Kingdom United Kingdom
Richard Northedge is a senior developer with a UK Microsoft Gold Partner company. He has a postgraduate degree in English Literature, has been programming professionally since 1998 and has been an MCSD since 2000.

Comments and Discussions