weka.classifiers.functions.supportVector

Class CheckKernel

java.lang.Object

weka.core.Check

weka.core.CheckScheme

weka.classifiers.functions.supportVector.CheckKernel

All Implemented Interfaces:

OptionHandler, RevisionHandler

public class CheckKernel
extends CheckScheme

Class for examining the capabilities and finding problems with kernels. If you implement an kernels using the WEKA.libraries, you should run the checks on it to ensure robustness and correct operation. Passing all the tests of this object does not mean bugs in the kernels don't exist, but this will help find some common ones.

Typical usage:

java weka.classifiers.functions.supportVector.CheckKernel -W kernel_name -- kernel_options

CheckKernel reports on the following:

• Kernel abilities
  • Possible command line options to the kernels
  • Whether the kernels can predict nominal, numeric, string, date or relational class attributes.
  • Whether the kernels can handle numeric predictor attributes
  • Whether the kernels can handle nominal predictor attributes
  • Whether the kernels can handle string predictor attributes
  • Whether the kernels can handle date predictor attributes
  • Whether the kernels can handle relational predictor attributes
  • Whether the kernels can handle multi-instance data
  • Whether the kernels can handle missing predictor values
  • Whether the kernels can handle missing class values
  • Whether a nominal kernels only handles 2 class problems
  • Whether the kernels can handle instance weights
• Correct functioning
  • Correct initialisation during buildKernel (i.e. no result changes when buildKernel called repeatedly)
  • Whether the kernels alters the data passed to it (number of instances, instance order, instance weights, etc)
• Degenerate cases
  • building kernels with zero training instances
  • all but one predictor attribute values missing
  • all predictor attribute values missing
  • all but one class values missing
  • all class values missing

Running CheckKernel with the debug option set will output the training and test datasets for any failed tests.

The weka.classifiers.AbstractKernelTest uses this class to test all the kernels. Any changes here, have to be checked in that abstract test class, too.

Valid options are:

 -D
  Turn on debugging output.

 -S
  Silent mode - prints nothing to stdout.

 -N <num>
  The number of instances in the datasets (default 20).

 -nominal <num>
  The number of nominal attributes (default 2).

 -nominal-values <num>
  The number of values for nominal attributes (default 1).

 -numeric <num>
  The number of numeric attributes (default 1).

 -string <num>
  The number of string attributes (default 1).

 -date <num>
  The number of date attributes (default 1).

 -relational <num>
  The number of relational attributes (default 1).

 -num-instances-relational <num>
  The number of instances in relational/bag attributes (default 10).

 -words <comma-separated-list>
  The words to use in string attributes.

 -word-separators <chars>
  The word separators to use in string attributes.

 -W
  Full name of the kernel analysed.
  eg: weka.classifiers.functions.supportVector.RBFKernel
  (default weka.classifiers.functions.supportVector.RBFKernel)

 
 Options specific to kernel weka.classifiers.functions.supportVector.RBFKernel:
 

 -D
  Enables debugging output (if available) to be printed.
  (default: off)

 -no-checks
  Turns off all checks - use with caution!
  (default: checks on)

 -C <num>
  The size of the cache (a prime number), 0 for full cache and 
  -1 to turn it off.
  (default: 250007)

 -G <num>
  The Gamma parameter.
  (default: 0.01)

Options after -- are passed to the designated kernel.

Version:

$Revision: 1.3 $

Author:

Len Trigg (trigg@cs.waikato.ac.nz), FracPete (fracpete at waikato dot ac dot nz)

See Also:

TestInstances

Nested Class Summary

Nested classes/interfaces inherited from class weka.core.CheckScheme

CheckScheme.PostProcessor

Constructor Summary

Constructors

Constructor and Description
CheckKernel()

Method Summary

Modifier and Type	Method and Description
void	doTests() Begin the tests, reporting results to System.out
Kernel	getKernel() Get the kernel being tested
java.lang.String[]	getOptions() Gets the current settings of the CheckKernel.
java.lang.String	getRevision() Returns the revision string.
java.util.Enumeration	listOptions() Returns an enumeration describing the available options.
static void	main(java.lang.String[] args) Test method for this class
void	setKernel(Kernel value) Set the lernel to test.
void	setOptions(java.lang.String[] options) Parses a given list of options.

Methods inherited from class weka.core.CheckScheme

attributeTypeToString, getNumDate, getNumInstances, getNumInstancesRelational, getNumNominal, getNumNumeric, getNumRelational, getNumString, getPostProcessor, getWords, getWordSeparators, hasClasspathProblems, setNumDate, setNumInstances, setNumInstancesRelational, setNumNominal, setNumNumeric, setNumRelational, setNumString, setPostProcessor, setWords, setWordSeparators

Methods inherited from class weka.core.Check

getDebug, getSilent, setDebug, setSilent

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

CheckKernel

public CheckKernel()

Method Detail

listOptions

public java.util.Enumeration listOptions()

Returns an enumeration describing the available options.

Specified by:

listOptions in interface OptionHandler

Overrides:

listOptions in class CheckScheme

Returns:

an enumeration of all the available options.

setOptions

public void setOptions(java.lang.String[] options)
                throws java.lang.Exception

Parses a given list of options. Valid options are:

 -D
  Turn on debugging output.

 -S
  Silent mode - prints nothing to stdout.

 -N <num>
  The number of instances in the datasets (default 20).

 -nominal <num>
  The number of nominal attributes (default 2).

 -nominal-values <num>
  The number of values for nominal attributes (default 1).

 -numeric <num>
  The number of numeric attributes (default 1).

 -string <num>
  The number of string attributes (default 1).

 -date <num>
  The number of date attributes (default 1).

 -relational <num>
  The number of relational attributes (default 1).

 -num-instances-relational <num>
  The number of instances in relational/bag attributes (default 10).

 -words <comma-separated-list>
  The words to use in string attributes.

 -word-separators <chars>
  The word separators to use in string attributes.

 -W
  Full name of the kernel analysed.
  eg: weka.classifiers.functions.supportVector.RBFKernel
  (default weka.classifiers.functions.supportVector.RBFKernel)

 
 Options specific to kernel weka.classifiers.functions.supportVector.RBFKernel:
 

 -D
  Enables debugging output (if available) to be printed.
  (default: off)

 -no-checks
  Turns off all checks - use with caution!
  (default: checks on)

 -C <num>
  The size of the cache (a prime number), 0 for full cache and 
  -1 to turn it off.
  (default: 250007)

 -G <num>
  The Gamma parameter.
  (default: 0.01)

Specified by:

setOptions in interface OptionHandler

Overrides:

setOptions in class CheckScheme

Parameters:

options - the list of options as an array of strings

Throws:

java.lang.Exception - if an option is not supported

getOptions

public java.lang.String[] getOptions()

Gets the current settings of the CheckKernel.

Specified by:

getOptions in interface OptionHandler

Overrides:

getOptions in class CheckScheme

Returns:

an array of strings suitable for passing to setOptions

doTests

public void doTests()

Begin the tests, reporting results to System.out

Specified by:

doTests in class CheckScheme

setKernel

public void setKernel(Kernel value)

Set the lernel to test.

Parameters:

value - the kernel to use.

getKernel

public Kernel getKernel()

Get the kernel being tested

Returns:

the kernel being tested

getRevision

public java.lang.String getRevision()

Returns the revision string.

Returns:

the revision

main

public static void main(java.lang.String[] args)

Test method for this class

Parameters:

args - the commandline parameters