mirror of
https://github.com/hanzoai/jube-fork.git
synced 2026-10-30 18:33:33 +00:00
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.
64 lines
2.1 KiB
C#
64 lines
2.1 KiB
C#
// 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.Running
|
|
{
|
|
|
|
/// <summary>
|
|
/// Common interface for running statistics.
|
|
/// </summary>
|
|
/// <remarks>
|
|
/// Running statistics are measures computed as data becomes available.
|
|
/// When using running statistics, there is no need to know the number of
|
|
/// samples a priori, such as in the case of the direct <see cref="Measures.Mean(double[])"/>.
|
|
/// </remarks>
|
|
///
|
|
public interface IRunningStatistics : IRunning<double>
|
|
{
|
|
|
|
/// <summary>
|
|
/// Gets the current mean of the gathered values.
|
|
/// </summary>
|
|
///
|
|
/// <value>The mean of the values.</value>
|
|
///
|
|
double Mean { get; }
|
|
|
|
/// <summary>
|
|
/// Gets the current variance of the gathered values.
|
|
/// </summary>
|
|
///
|
|
/// <value>The variance of the values.</value>
|
|
///
|
|
double Variance { get; }
|
|
|
|
/// <summary>
|
|
/// Gets the current standard deviation of the gathered values.
|
|
/// </summary>
|
|
///
|
|
/// <value>The standard deviation of the values.</value>
|
|
///
|
|
double StandardDeviation { get; }
|
|
|
|
}
|
|
}
|