///
/// This file is part of ILNumerics Community Edition.
///
/// ILNumerics Community Edition - high performance computing for applications.
/// Copyright (C) 2006 - 2012 Haymo Kutschbach, http://ilnumerics.net
///
/// ILNumerics Community Edition is free software: you can redistribute it and/or modify
/// it under the terms of the GNU General Public License version 3 as published by
/// the Free Software Foundation.
///
/// ILNumerics Community Edition 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 General Public License
/// along with ILNumerics Community Edition. See the file License.txt in the root
/// of your distribution package. If not, see .
///
/// In addition this software uses the following components and/or licenses:
///
/// =================================================================================
/// The Open Toolkit Library License
///
/// Copyright (c) 2006 - 2009 the Open Toolkit library.
///
/// Permission is hereby granted, free of charge, to any person obtaining a copy
/// of this software and associated documentation files (the "Software"), to deal
/// in the Software without restriction, including without limitation the rights to
/// use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
/// the Software, and to permit persons to whom the Software is furnished to do
/// so, subject to the following conditions:
///
/// The above copyright notice and this permission notice shall be included in all
/// copies or substantial portions of the Software.
///
/// =================================================================================
///
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
namespace ILNumerics {
///
/// Result datatype, used for storing computational results and applying them to new data within ILNumerics machine learning functions
///
/// Datatype of underlying array elements
public abstract class ILResult : IDisposable {
private bool m_disposed = false;
public bool IsDisposed {
get { return m_disposed; }
set { m_disposed = value; }
}
///
/// Apply the result on new datapoints
///
/// New datapoints, same dimension as used for learning
///
public abstract ILRetArray Apply(ILInArray X, params ILBaseArray[] arguments);
#region IDisposable Members
public virtual void Dispose() {
if (IsDisposed) return;
m_disposed = true;
}
#endregion
}
}