SimpleMI

java.lang.Object
- weka.classifiers.Classifier
- - weka.classifiers.SingleClassifierEnhancer
  - - weka.classifiers.mi.SimpleMI

All Implemented Interfaces:: java.io.Serializable, java.lang.Cloneable, CapabilitiesHandler, MultiInstanceCapabilitiesHandler, OptionHandler, RevisionHandler

public class SimpleMI
extends SingleClassifierEnhancer
implements OptionHandler, MultiInstanceCapabilitiesHandler

Reduces MI data into mono-instance data.

Valid options are:

 -M [1|2|3]
  The method used in transformation:
  1.arithmatic average; 2.geometric centor;
  3.using minimax combined features of a bag (default: 1)
 
  Method 3:
  Define s to be the vector of the coordinate-wise maxima
  and minima of X, ie., 
  s(X)=(minx1, ..., minxm, maxx1, ...,maxxm), transform
  the exemplars into mono-instance which contains attributes
  s(X)

 -D
  If set, classifier is run in debug mode and
  may output additional info to the console

 -W
  Full name of base classifier.
  (default: weka.classifiers.rules.ZeroR)

 
 Options specific to classifier weka.classifiers.rules.ZeroR:

 -D
  If set, classifier is run in debug mode and
  may output additional info to the console

Version:: $Revision: 9144 $
Author:: Eibe Frank (eibe@cs.waikato.ac.nz), Xin Xu (xx5@cs.waikato.ac.nz), Lin Dong (ld21@cs.waikato.ac.nz)
See Also:: Serialized Form

Field Summary

Fields
Modifier and Type	Field and Description
`static Tag[]`	`TAGS_TRANSFORMMETHOD` the transformation methods
`static int`	`TRANSFORMMETHOD_ARITHMETIC` arithmetic average
`static int`	`TRANSFORMMETHOD_GEOMETRIC` geometric average
`static int`	`TRANSFORMMETHOD_MINIMAX` using minimax combined features of a bag

Constructor Summary

Constructors
Constructor and Description

SimpleMI()

Constructors
Constructor and Description
`SimpleMI()`

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`void`	`buildClassifier(Instances train)` Builds the classifier
`double[]`	`distributionForInstance(Instance newBag)` Computes the distribution for a given exemplar
`Capabilities`	`getCapabilities()` Returns default capabilities of the classifier.
`Capabilities`	`getMultiInstanceCapabilities()` Returns the capabilities of this multi-instance classifier for the relational data.
`java.lang.String[]`	`getOptions()` Gets the current settings of the Classifier.
`java.lang.String`	`getRevision()` Returns the revision string.
`SelectedTag`	`getTransformMethod()` Get the method used in transformation.
`java.lang.String`	`globalInfo()` Returns a string describing this filter
`java.util.Enumeration`	`listOptions()` Returns an enumeration describing the available options.
`static void`	`main(java.lang.String[] argv)` Main method for testing this class.
`static double[]`	`minimax(Instances data, int attIndex)` Get the minimal and maximal value of a certain attribute in a certain data
`void`	`setOptions(java.lang.String[] options)` Parses a given list of options.
`void`	`setTransformMethod(SelectedTag newMethod)` Set the method used in transformation.
`java.lang.String`	`toString()` Gets a string describing the classifier.
`Instances`	`transform(Instances train)` Implements MITransform (3 type of transformation) 1.arithmatic average; 2.geometric centor; 3.merge minima and maxima attribute value together
`java.lang.String`	`transformMethodTipText()` Returns the tip text for this property

Methods inherited from class weka.classifiers.SingleClassifierEnhancer
classifierTipText, getClassifier, setClassifier

Methods inherited from class weka.classifiers.Classifier
classifyInstance, debugTipText, forName, getDebug, makeCopies, makeCopy, setDebug

Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

- Field Detail
  - TRANSFORMMETHOD_ARITHMETIC
```
public static final int TRANSFORMMETHOD_ARITHMETIC
```
    arithmetic average
    
    See Also:
    
    Constant Field Values
  - TRANSFORMMETHOD_GEOMETRIC
```
public static final int TRANSFORMMETHOD_GEOMETRIC
```
    geometric average
    
    See Also:
    
    Constant Field Values
  - TRANSFORMMETHOD_MINIMAX
```
public static final int TRANSFORMMETHOD_MINIMAX
```
    using minimax combined features of a bag
    
    See Also:
    
    Constant Field Values
  - TAGS_TRANSFORMMETHOD
```
public static final Tag[] TAGS_TRANSFORMMETHOD
```
    the transformation methods
- Constructor Detail
  - SimpleMI
```
public SimpleMI()
```
- Method Detail
  - globalInfo
```
public java.lang.String globalInfo()
```
    Returns a string describing this filter
    
    Returns:
    
    a description of the filter suitable for displaying in the explorer/experimenter gui
  - listOptions
```
public java.util.Enumeration listOptions()
```
    Returns an enumeration describing the available options.
    
    Specified by:
    
    listOptions in interface OptionHandler
    
    Overrides:
    
    listOptions in class SingleClassifierEnhancer
    
    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:
```
 -M [1|2|3]
  The method used in transformation:
  1.arithmatic average; 2.geometric centor;
  3.using minimax combined features of a bag (default: 1)
 
  Method 3:
  Define s to be the vector of the coordinate-wise maxima
  and minima of X, ie., 
  s(X)=(minx1, ..., minxm, maxx1, ...,maxxm), transform
  the exemplars into mono-instance which contains attributes
  s(X)
```
```
 -D
  If set, classifier is run in debug mode and
  may output additional info to the console
```
```
 -W
  Full name of base classifier.
  (default: weka.classifiers.rules.ZeroR)
```
```
 
 Options specific to classifier weka.classifiers.rules.ZeroR:
 
```
```
 -D
  If set, classifier is run in debug mode and
  may output additional info to the console
```
    Specified by:
    
    setOptions in interface OptionHandler
    
    Overrides:
    
    setOptions in class SingleClassifierEnhancer
    
    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 Classifier.
    
    Specified by:
    
    getOptions in interface OptionHandler
    
    Overrides:
    
    getOptions in class SingleClassifierEnhancer
    
    Returns:
    
    an array of strings suitable for passing to setOptions
  - transformMethodTipText
```
public java.lang.String transformMethodTipText()
```
    Returns the tip text for this property
    
    Returns:
    
    tip text for this property suitable for displaying in the explorer/experimenter gui
  - setTransformMethod
```
public void setTransformMethod(SelectedTag newMethod)
```
    Set the method used in transformation.
    
    Parameters:
    
    newMethod - the index of method to use.
  - getTransformMethod
```
public SelectedTag getTransformMethod()
```
    Get the method used in transformation.
    
    Returns:
    
    the index of method used.
  - transform
```
public Instances transform(Instances train)
                    throws java.lang.Exception
```
    Implements MITransform (3 type of transformation) 1.arithmatic average; 2.geometric centor; 3.merge minima and maxima attribute value together
    
    Parameters:
    
    train - the multi-instance dataset (with relational attribute)
    
    Returns:
    
    the transformed dataset with each bag contain mono-instance (without relational attribute) so that any classifier not for MI dataset can be applied on it.
    
    Throws:
    
    java.lang.Exception - if the transformation fails
  - minimax
```
public static double[] minimax(Instances data,
                               int attIndex)
```
    Get the minimal and maximal value of a certain attribute in a certain data
    
    Parameters:
    
    data - the data
    
    attIndex - the index of the attribute
    
    Returns:
    
    the double array containing in entry 0 for min and 1 for max.
  - getCapabilities
```
public Capabilities getCapabilities()
```
    Returns default capabilities of the classifier.
    
    Specified by:
    
    getCapabilities in interface CapabilitiesHandler
    
    Overrides:
    
    getCapabilities in class SingleClassifierEnhancer
    
    Returns:
    
    the capabilities of this classifier
    
    See Also:
    
    Capabilities
  - getMultiInstanceCapabilities
```
public Capabilities getMultiInstanceCapabilities()
```
    Returns the capabilities of this multi-instance classifier for the relational data.
    
    Specified by:
    
    getMultiInstanceCapabilities in interface MultiInstanceCapabilitiesHandler
    
    Returns:
    
    the capabilities of this object
    
    See Also:
    
    Capabilities
  - buildClassifier
```
public void buildClassifier(Instances train)
                     throws java.lang.Exception
```
    Builds the classifier
    
    Specified by:
    
    buildClassifier in class Classifier
    
    Parameters:
    
    train - the training data to be used for generating the boosted classifier.
    
    Throws:
    
    java.lang.Exception - if the classifier could not be built successfully
  - distributionForInstance
```
public double[] distributionForInstance(Instance newBag)
                                 throws java.lang.Exception
```
    Computes the distribution for a given exemplar
    
    Overrides:
    
    distributionForInstance in class Classifier
    
    Parameters:
    
    newBag - the exemplar for which distribution is computed
    
    Returns:
    
    the distribution
    
    Throws:
    
    java.lang.Exception - if the distribution can't be computed successfully
  - toString
```
public java.lang.String toString()
```
    Gets a string describing the classifier.
    
    Overrides:
    
    toString in class java.lang.Object
    
    Returns:
    
    a string describing the classifer built.
  - getRevision
```
public java.lang.String getRevision()
```
    Returns the revision string.
    
    Specified by:
    
    getRevision in interface RevisionHandler
    
    Overrides:
    
    getRevision in class Classifier
    
    Returns:
    
    the revision
  - main
```
public static void main(java.lang.String[] argv)
```
    Main method for testing this class.
    
    Parameters:
    
    argv - should contain the command line arguments to the scheme (see Evaluation)

Class SimpleMI

Field Summary

Constructor Summary

Method Summary

Methods inherited from class weka.classifiers.SingleClassifierEnhancer

Methods inherited from class weka.classifiers.Classifier

Methods inherited from class java.lang.Object

Field Detail

TRANSFORMMETHOD_ARITHMETIC

TRANSFORMMETHOD_GEOMETRIC

TRANSFORMMETHOD_MINIMAX

TAGS_TRANSFORMMETHOD

Constructor Detail

SimpleMI

Method Detail

globalInfo

listOptions

setOptions

getOptions

transformMethodTipText

setTransformMethod

getTransformMethod

transform

minimax

getCapabilities

getMultiInstanceCapabilities

buildClassifier

distributionForInstance

toString

getRevision

main