KerMor
0.9
Model order reduction for nonlinear dynamical systems and nonlinear approximation
|
Implements the 1D and 2D SMO algorithm introduced in [10] 'I. Steinwart, D. Hush, and C. Scovel. Training svms without offset. J. Mach. Learn. Res., 12:141-202, February 2011'
This class is part of the framework
Homepage
http://www.morepas.org/software/index.htmlDocumentation
http://www.morepas.org/software/kermor/index.htmlLicense
KerMor license conditions Definition at line 19 of file ScalarEpsSVR_SMO.m.
Public Member Functions | |
function [
ai , sf ] = | regress (fxi, initialai) |
function copy = | clone () |
Public Member Functions inherited from general.regression.BaseScalarSVR | |
BaseScalarSVR () | |
function target = | clone (target) |
The interface method with returns a copy of the current class instance. More... | |
function | init (kernels.KernelExpansion kexp) |
% IKernelCoeffComp interface members Sets the kernel matrix. More... | |
function [
rowvec ci ,
integer svidx , sf ] = | computeKernelCoefficients (rowvec yi, initialai) |
Implementation of the kernels.ICoeffComp interface. More... | |
virtual function [ ci , integer sf ] = | regress (fxi,rowvec initialai) |
Performs the actual regression (template method) More... | |
Public Member Functions inherited from KerMorObject | |
KerMorObject () | |
Constructs a new KerMor object. More... | |
function | display () |
disp(object2str(this)); More... | |
function bool = | eq (B) |
Checks equality of two KerMor objects. More... | |
function bool = | ne (B) |
Checks if two KerMorObjects are different. More... | |
function cn = | getClassName () |
Returns the simple class name of this object without packages. More... | |
Public Member Functions inherited from DPCMObject | |
DPCMObject () | |
Creates a new DPCM object. More... | |
DPCMObject () | |
Public Member Functions inherited from IKernelCoeffComp | |
function copy = | clone (copy) |
The interface method with returns a copy of the current class instance. More... | |
virtual function | init (data.FileMatrix K) |
Initialization template method. More... | |
virtual function [ rowvec ci , integer svidx ] = | computeKernelCoefficients (yi, initialai) |
Kernel coefficient computation. More... | |
Static Public Member Functions | |
static function res = | test_ScalarEpsSVR_SMO () |
Performs a test of this class. More... | |
Public Attributes | |
Eps = .1 | |
The epsilon value to use for the loss function. More... | |
StopEps = 1e-4 | |
Stopping criterion. More... | |
Vis = 0 | |
Visual output. More... | |
Version = 2 | |
Which Version to use. More... | |
NNk = 10 | |
Nearest neighbors to search for WSS4 strategy. More... | |
MaxCount = 60000 | |
The maximum number of iterations. More... | |
integer | LastIterations = "[]" |
The number of iterations used at the last run. More... | |
Public Attributes inherited from general.regression.BaseScalarSVR | |
double | AlphaRelMinValue = eps |
Minimum relative value for any alpha to be considered a support vector coefficient. More... | |
data.FileMatrix | K |
The kernel matrix to use. More... | |
double | Lambda |
The regularization parameter \(\lambda\) for the primary minimization problem. More... | |
Public Attributes inherited from DPCMObject | |
WorkspaceVariableName = "" | |
The workspace variable name of this class. Optional. More... | |
ID = "[]" | |
An ID that allows to uniquely identify this DPCMObject (at least within the current MatLab session/context). More... | |
PropertiesChanged = "[]" | |
The Dictionary containing all the property settings as key/value pairs. More... | |
Public Attributes inherited from handle | |
addlistener | |
Creates a listener for the specified event and assigns a callback function to execute when the event occurs. More... | |
notify | |
Broadcast a notice that a specific event is occurring on a specified handle object or array of handle objects. More... | |
delete | |
Handle object destructor method that is called when the object's lifecycle ends. More... | |
disp | |
Handle object disp method which is called by the display method. See the MATLAB disp function. More... | |
display | |
Handle object display method called when MATLAB software interprets an expression returning a handle object that is not terminated by a semicolon. See the MATLAB display function. More... | |
findobj | |
Finds objects matching the specified conditions from the input array of handle objects. More... | |
findprop | |
Returns a meta.property objects associated with the specified property name. More... | |
fields | |
Returns a cell array of string containing the names of public properties. More... | |
fieldnames | |
Returns a cell array of string containing the names of public properties. See the MATLAB fieldnames function. More... | |
isvalid | |
Returns a logical array in which elements are true if the corresponding elements in the input array are valid handles. This method is Sealed so you cannot override it in a handle subclass. More... | |
eq | |
Relational functions example. See details for more information. More... | |
transpose | |
Transposes the elements of the handle object array. More... | |
permute | |
Rearranges the dimensions of the handle object array. See the MATLAB permute function. More... | |
reshape | |
hanges the dimensions of the handle object array to the specified dimensions. See the MATLAB reshape function. More... | |
sort | |
ort the handle objects in any array in ascending or descending order. More... | |
Public Attributes inherited from IKernelCoeffComp | |
logical | MultiTargetComputation = false |
A flag that indicates to users if the coefficient computation method is capable of using a matrix of column fxi vectors or only single vectors. More... | |
Additional Inherited Members | |
Protected Member Functions inherited from KerMorObject | |
function | checkType (obj, type) |
Object typechecker. More... | |
Protected Member Functions inherited from DPCMObject | |
function | registerProps (varargin) |
Call this method at any class that defines DPCM observed properties. More... | |
function | registerProps (varargin) |
Static Protected Member Functions inherited from DPCMObject | |
static function obj = | loadobj (obj, from) |
Re-register any registered change listeners! More... | |
static function obj = | loadobj (obj, from) |
Protected Attributes inherited from general.regression.BaseScalarSVR | |
double | C = .5 |
The weighting of the slack variables. More... | |
function copy = general.regression.ScalarEpsSVR_SMO.clone | ( | ) |
Definition at line 172 of file ScalarEpsSVR_SMO.m.
References Eps, LastIterations, MaxCount, NNk, StopEps, Version, and Vis.
function [ai , sf ] = general.regression.ScalarEpsSVR_SMO.regress | ( | fxi, | |
initialai | |||
) |
Definition at line 157 of file ScalarEpsSVR_SMO.m.
References Version.
|
static |
Performs a test of this class.
Definition at line 742 of file ScalarEpsSVR_SMO.m.
general.regression.ScalarEpsSVR_SMO.Eps = .1 |
The epsilon value to use for the loss function.
Default: .1;
SetObservable
set to true. Definition at line 47 of file ScalarEpsSVR_SMO.m.
Referenced by clone().
general.regression.ScalarEpsSVR_SMO.LastIterations = "[]" |
The number of iterations used at the last run.
Default: []
SetAccess = Private, GetAccess = Public
Definition at line 142 of file ScalarEpsSVR_SMO.m.
Referenced by clone().
general.regression.ScalarEpsSVR_SMO.MaxCount = 60000 |
The maximum number of iterations.
Default: 60000
SetObservable
set to true. Definition at line 125 of file ScalarEpsSVR_SMO.m.
Referenced by clone().
general.regression.ScalarEpsSVR_SMO.NNk = 10 |
Nearest neighbors to search for WSS4 strategy.
Default: 10
SetObservable
set to true. Definition at line 110 of file ScalarEpsSVR_SMO.m.
Referenced by clone().
general.regression.ScalarEpsSVR_SMO.StopEps = 1e-4 |
Stopping criterion.
SetObservable
set to true. Definition at line 62 of file ScalarEpsSVR_SMO.m.
Referenced by clone().
general.regression.ScalarEpsSVR_SMO.Version = 2 |
Which Version to use.
Set to 1 for 1D SMO and 2 for 2D SMO. 2D is faster, uses the WSS7 as default.
Default: 2
SetObservable
set to true. Definition at line 92 of file ScalarEpsSVR_SMO.m.
general.regression.ScalarEpsSVR_SMO.Vis = 0 |
Visual output.
Default: 0;
SetObservable
set to true. Definition at line 77 of file ScalarEpsSVR_SMO.m.
Referenced by clone().