IDiscriminantAnalysis.cs

// Accord Statistics Library
// The Accord.NET Framework
// http://accord-framework.net
//
// Copyright © César Souza, 2009-2017
// cesarsouza at gmail.com
//
//    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 library; if not, write to the Free Software
//    Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA  02110-1301  USA
//

namespace Accord.Statistics.Analysis
{

    /// <summary>
    ///   Common interface for discriminant analysis.
    /// </summary>
    /// 
    /// <remarks>
    /// <para>
    ///   Discriminant analysis attempt to express one categorical dependent variable
    ///   as a combinations of other features or measurements.</para>
    /// <para>
    ///   When the dependent variable is a numerical quantity, the class of analysis methods
    ///   is known as <see cref="IRegressionAnalysis">regression analysis</see>.</para>  
    /// </remarks>
    /// 
#pragma warning disable 612, 618
    public interface IDiscriminantAnalysis : IMultivariateAnalysis
#pragma warning restore 612, 618
    {
        /// <summary>
        ///   Gets the classification labels (the dependent variable)
        ///   for each of the source input points.
        /// </summary>
        /// 
        int[] Classifications { get; }

    }
}