KerMor  0.9
Model order reduction for nonlinear dynamical systems and nonlinear approximation
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demos.SVR Class Reference

SVR: Support vector machine related KerMor demos. More...

Detailed Description

SVR: Support vector machine related KerMor demos.

Author
Daniel Wirtz
Date
2013-08-23
New in 0.7:
(Daniel Wirtz, 2013-08-23) Added this class.

This class is part of the framework

KerMor - Model Order Reduction using Kernels

Definition at line 18 of file SVR.m.

Static Public Member Functions

static function PlotManager pm = EpsLoss (double ep)
 Plots the epsilon-insensitive loss function for a given epsilon. More...
 
static function  ScalarEpsSVR_SMO (integer version,PlotManager pm)
 Demonstrates the general.regression.ScalarEpsSVR_SMO class. More...
 
static function  ScalarEpsSVR_SMO_SingleSteps (varargin)
 Demonstrates the general.regression.ScalarEpsSVR_SMO class. More...
 

Member Function Documentation

function PlotManager pm = demos.SVR.EpsLoss ( double  ep)
static

Plots the epsilon-insensitive loss function for a given epsilon.

Parameters
epThe \(\epsilon\) to use. Default: 0.1
Return values
pmA PlotManager instance to save created figures. Optional.
Generated fields of pm:

Definition at line 37 of file SVR.m.

References PlotManager.nextPlot().

Here is the call graph for this function:

function demos.SVR.ScalarEpsSVR_SMO ( integer  version,
PlotManager  pm 
)
static

Demonstrates the general.regression.ScalarEpsSVR_SMO class.

Call with either 1 or 2 as argument for different SMO strategies. 2 uses 2D SMO, which results in significantly faster computation time with similar results.

New in 0.5:
(Daniel Wirtz, 2011-10-05) Added this function.

This class is part of the framework

KerMor - Model Order Reduction using Kernels
Parameters
versionThe version to use. Either 1 or 2 for 1D or 2D SMO Default: 2
pmA PlotManager instance to use for figure creation. Default: PlotManager
Required fields of pm:

Definition at line 83 of file SVR.m.

References PlotManager.LeaveOpen, and t.

function demos.SVR.ScalarEpsSVR_SMO_SingleSteps (   varargin)
static

Demonstrates the general.regression.ScalarEpsSVR_SMO class.

Call with either Version as 1 or 2 to use different SMO strategies. 2 uses 2D SMO, which results in significantly faster computation time with similar results.

New in 0.7:
(Daniel Wirtz, 2013-08-23) Added this function.

This class is part of the framework

KerMor - Model Order Reduction using Kernels
Parameters
vararginVarious settings for the demo.
ScalarEpsSVR_SMO_SingleSteps ( [ "Version", Version_value ] [, "Steps", Steps_value ]
[, "PM", PM_value ] [, "Gamma", Gamma_value ]
[, "Eps", Eps_value ] )
Named Parameters for varargin:
  • Version The version to use. Either 1 or 2 for 1D or 2D SMO Default: 2
  • Steps The number of single iterations to perform. Default: 8
  • PM A PlotManager instance to use for plotting. Default: 2x2 subfigures
  • Gamma A \(\gamma\) value for the kernel. Default: 0.8
  • Eps The \(\epsilon\) to use. Default: 0.1

Definition at line 143 of file SVR.m.

References l, and t.


The documentation for this class was generated from the following file: