AbstractClassifier

java.lang.Object
- weka.classifiers.AbstractClassifier

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, Classifier, BatchPredictor, CapabilitiesHandler, CapabilitiesIgnorer, CommandlineRunnable, OptionHandler, RevisionHandler

Direct Known Subclasses:

BayesNet, DecisionStump, DecisionTable, HoeffdingTree, IBk, J48, JRip, KStar, LinearRegression, LMT, Logistic, LogisticBase, M5Base, MultilayerPerceptron, MultipleClassifiersCombiner, NaiveBayes, NaiveBayesMultinomial, NaiveBayesMultinomialText, OneR, PART, PMMLClassifier, PreConstructedLinearModel, RandomizableClassifier, RandomTree, REPTree, RuleNode, SerializedClassifier, SimpleLinearRegression, SimpleLogistic, SingleClassifierEnhancer, SMO, SMOreg, VotedPerceptron, ZeroR
```
public abstract class AbstractClassifier
extends java.lang.Object
implements Classifier, BatchPredictor, java.lang.Cloneable, java.io.Serializable, OptionHandler, CapabilitiesHandler, RevisionHandler, CapabilitiesIgnorer, CommandlineRunnable
```
Abstract classifier. All schemes for numeric or nominal prediction in Weka extend this class. Note that a classifier MUST either implement distributionForInstance() or classifyInstance().

Version:

$Revision: 15519 $

Author:

Eibe Frank (eibe@cs.waikato.ac.nz), Len Trigg (trigg@cs.waikato.ac.nz)

See Also:

Serialized Form

Field Summary

Fields
Modifier and Type	Field and Description
`static java.lang.String`	`BATCH_SIZE_DEFAULT` Default preferred batch size for batch predictions
`static int`	`NUM_DECIMAL_PLACES_DEFAULT` The number of decimal places used when printing numbers in the model.

Constructor Summary

Constructors
Constructor and Description

AbstractClassifier()

Constructors
Constructor and Description
`AbstractClassifier()`

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`java.lang.String`	`batchSizeTipText()` Returns the tip text for this property
`double`	`classifyInstance(Instance instance)` Classifies the given test instance.
`java.lang.String`	`debugTipText()` Returns the tip text for this property
`double[]`	`distributionForInstance(Instance instance)` Predicts the class memberships for a given instance.
`double[][]`	`distributionsForInstances(Instances batch)` Batch prediction method.
`java.lang.String`	`doNotCheckCapabilitiesTipText()` Returns the tip text for this property
`static Classifier`	`forName(java.lang.String classifierName, java.lang.String[] options)` Creates a new instance of a classifier given it's class name and (optional) arguments to pass to it's setOptions method.
`java.lang.String`	`getBatchSize()` Get the preferred batch size for batch prediction.
`Capabilities`	`getCapabilities()` Returns the Capabilities of this classifier.
`boolean`	`getDebug()` Get whether debugging is turned on.
`boolean`	`getDoNotCheckCapabilities()` Get whether capabilities checking is turned off.
`int`	`getNumDecimalPlaces()` Get the number of decimal places.
`java.lang.String[]`	`getOptions()` Gets the current settings of the Classifier.
`java.lang.String`	`getRevision()` Returns the revision string.
`boolean`	`implementsMoreEfficientBatchPrediction()` Return true if this classifier can generate batch predictions in an efficient manner.
`java.util.Enumeration<Option>`	`listOptions()` Returns an enumeration describing the available options.
`static Classifier[]`	`makeCopies(Classifier model, int num)` Creates a given number of deep copies of the given classifier using serialization.
`static Classifier`	`makeCopy(Classifier model)` Creates a deep copy of the given classifier using serialization.
`java.lang.String`	`numDecimalPlacesTipText()` Returns the tip text for this property
`void`	`postExecution()` Perform any teardown stuff that might need to happen after execution.
`void`	`preExecution()` Perform any setup stuff that might need to happen before commandline execution.
`void`	`run(java.lang.Object toRun, java.lang.String[] options)` Execute the supplied object.
`static void`	`runClassifier(Classifier classifier, java.lang.String[] options)` runs the classifier instance with the given options.
`void`	`setBatchSize(java.lang.String size)` Set the preferred batch size for batch prediction.
`void`	`setDebug(boolean debug)` Set debugging mode.
`void`	`setDoNotCheckCapabilities(boolean doNotCheckCapabilities)` Set whether not to check capabilities.
`void`	`setNumDecimalPlaces(int num)` Set the number of decimal places.
`void`	`setOptions(java.lang.String[] options)` Parses a given list of options.

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

Methods inherited from interface weka.classifiers.Classifier
buildClassifier

Methods inherited from interface weka.core.OptionHandler
makeCopy

- Field Detail
  - NUM_DECIMAL_PLACES_DEFAULT
```
public static int NUM_DECIMAL_PLACES_DEFAULT
```
    The number of decimal places used when printing numbers in the model.
  - BATCH_SIZE_DEFAULT
```
public static java.lang.String BATCH_SIZE_DEFAULT
```
    Default preferred batch size for batch predictions
- Constructor Detail
  - AbstractClassifier
```
public AbstractClassifier()
```
- Method Detail
  - forName
```
public static Classifier forName(java.lang.String classifierName,
                                 java.lang.String[] options)
                          throws java.lang.Exception
```
    Creates a new instance of a classifier given it's class name and (optional) arguments to pass to it's setOptions method. If the classifier implements OptionHandler and the options parameter is non-null, the classifier will have it's options set.
    
    Parameters:
    
    classifierName - the fully qualified class name of the classifier
    
    options - an array of options suitable for passing to setOptions. May be null.
    
    Returns:
    
    the newly created classifier, ready for use.
    
    Throws:
    
    java.lang.Exception - if the classifier name is invalid, or the options supplied are not acceptable to the classifier
  - makeCopy
```
public static Classifier makeCopy(Classifier model)
                           throws java.lang.Exception
```
    Creates a deep copy of the given classifier using serialization.
    
    Parameters:
    
    model - the classifier to copy
    
    Returns:
    
    a deep copy of the classifier
    
    Throws:
    
    java.lang.Exception - if an error occurs
  - makeCopies
```
public static Classifier[] makeCopies(Classifier model,
                                      int num)
                               throws java.lang.Exception
```
    Creates a given number of deep copies of the given classifier using serialization.
    
    Parameters:
    
    model - the classifier to copy
    
    num - the number of classifier copies to create.
    
    Returns:
    
    an array of classifiers.
    
    Throws:
    
    java.lang.Exception - if an error occurs
  - runClassifier
```
public static void runClassifier(Classifier classifier,
                                 java.lang.String[] options)
```
    runs the classifier instance with the given options.
    
    Parameters:
    
    classifier - the classifier to run
    
    options - the commandline options
  - classifyInstance
```
public double classifyInstance(Instance instance)
                        throws java.lang.Exception
```
    Classifies the given test instance. The instance has to belong to a dataset when it's being classified. Note that a classifier MUST implement either this or distributionForInstance().
    
    Specified by:
    
    classifyInstance in interface Classifier
    
    Parameters:
    
    instance - the instance to be classified
    
    Returns:
    
    the predicted most likely class for the instance or Utils.missingValue() if no prediction is made
    
    Throws:
    
    java.lang.Exception - if an error occurred during the prediction
  - distributionForInstance
```
public double[] distributionForInstance(Instance instance)
                                 throws java.lang.Exception
```
    Predicts the class memberships for a given instance. If an instance is unclassified, the returned array elements must be all zero. If the class is numeric, the array must consist of only one element, which contains the predicted value. Note that a classifier MUST implement either this or classifyInstance().
    
    Specified by:
    
    distributionForInstance in interface Classifier
    
    Parameters:
    
    instance - the instance to be classified
    
    Returns:
    
    an array containing the estimated membership probabilities of the test instance in each class or the numeric prediction
    
    Throws:
    
    java.lang.Exception - if distribution could not be computed successfully
  - listOptions
```
public java.util.Enumeration<Option> listOptions()
```
    Returns an enumeration describing the available options.
    
    Specified by:
    
    listOptions in interface OptionHandler
    
    Returns:
    
    an enumeration of all the available options.
  - getOptions
```
public java.lang.String[] getOptions()
```
    Gets the current settings of the Classifier.
    
    Specified by:
    
    getOptions in interface OptionHandler
    
    Returns:
    
    an array of strings suitable for passing to setOptions
  - setOptions
```
public void setOptions(java.lang.String[] options)
                throws java.lang.Exception
```
    Parses a given list of options. Valid options are:
    -output-debug-info
    If set, classifier is run in debug mode and may output additional info to the console.
    -do-not-check-capabilities
    If set, classifier capabilities are not checked before classifier is built (use with caution).
    -num-decimal-places
    The number of decimal places for the output of numbers in the model.
    -batch-size
    The desired batch size for batch prediction.
    
    Specified by:
    
    setOptions in interface OptionHandler
    
    Parameters:
    
    options - the list of options as an array of strings
    
    Throws:
    
    java.lang.Exception - if an option is not supported
  - getDebug
```
public boolean getDebug()
```
    Get whether debugging is turned on.
    
    Returns:
    
    true if debugging output is on
  - setDebug
```
public void setDebug(boolean debug)
```
    Set debugging mode.
    
    Parameters:
    
    debug - true if debug output should be printed
  - debugTipText
```
public java.lang.String debugTipText()
```
    Returns the tip text for this property
    
    Returns:
    
    tip text for this property suitable for displaying in the explorer/experimenter gui
  - getDoNotCheckCapabilities
```
public boolean getDoNotCheckCapabilities()
```
    Get whether capabilities checking is turned off.
    
    Specified by:
    
    getDoNotCheckCapabilities in interface CapabilitiesIgnorer
    
    Returns:
    
    true if capabilities checking is turned off.
  - setDoNotCheckCapabilities
```
public void setDoNotCheckCapabilities(boolean doNotCheckCapabilities)
```
    Set whether not to check capabilities.
    
    Specified by:
    
    setDoNotCheckCapabilities in interface CapabilitiesIgnorer
    
    Parameters:
    
    doNotCheckCapabilities - true if capabilities are not to be checked.
  - doNotCheckCapabilitiesTipText
```
public java.lang.String doNotCheckCapabilitiesTipText()
```
    Returns the tip text for this property
    
    Returns:
    
    tip text for this property suitable for displaying in the explorer/experimenter gui
  - numDecimalPlacesTipText
```
public java.lang.String numDecimalPlacesTipText()
```
    Returns the tip text for this property
    
    Returns:
    
    tip text for this property suitable for displaying in the explorer/experimenter gui
  - getNumDecimalPlaces
```
public int getNumDecimalPlaces()
```
    Get the number of decimal places.
  - setNumDecimalPlaces
```
public void setNumDecimalPlaces(int num)
```
    Set the number of decimal places.
  - batchSizeTipText
```
public java.lang.String batchSizeTipText()
```
    Returns the tip text for this property
    
    Returns:
    
    tip text for this property suitable for displaying in the explorer/experimenter gui
  - setBatchSize
```
public void setBatchSize(java.lang.String size)
```
    Set the preferred batch size for batch prediction.
    
    Specified by:
    
    setBatchSize in interface BatchPredictor
    
    Parameters:
    
    size - the batch size to use
  - getBatchSize
```
public java.lang.String getBatchSize()
```
    Get the preferred batch size for batch prediction.
    
    Specified by:
    
    getBatchSize in interface BatchPredictor
    
    Returns:
    
    the preferred batch size
  - implementsMoreEfficientBatchPrediction
```
public boolean implementsMoreEfficientBatchPrediction()
```
    Return true if this classifier can generate batch predictions in an efficient manner. Default implementation here returns false. Subclasses to override as appropriate.
    
    Specified by:
    
    implementsMoreEfficientBatchPrediction in interface BatchPredictor
    
    Returns:
    
    true if this classifier can generate batch predictions in an efficient manner.
  - distributionsForInstances
```
public double[][] distributionsForInstances(Instances batch)
                                     throws java.lang.Exception
```
    Batch prediction method. This default implementation simply calls distributionForInstance() for each instance in the batch. If subclasses can produce batch predictions in a more efficient manner than this they should override this method and also return true from implementsMoreEfficientBatchPrediction()
    
    Specified by:
    
    distributionsForInstances in interface BatchPredictor
    
    Parameters:
    
    batch - the instances to get predictions for
    
    Returns:
    
    an array of probability distributions, one for each instance in the batch
    
    Throws:
    
    java.lang.Exception - if a problem occurs.
  - getCapabilities
```
public Capabilities getCapabilities()
```
    Returns the Capabilities of this classifier. Maximally permissive capabilities are allowed by default. Derived classifiers should override this method and first disable all capabilities and then enable just those capabilities that make sense for the scheme.
    
    Specified by:
    
    getCapabilities in interface Classifier
    
    Specified by:
    
    getCapabilities in interface CapabilitiesHandler
    
    Returns:
    
    the capabilities of this object
    
    See Also:
    
    Capabilities
  - getRevision
```
public java.lang.String getRevision()
```
    Returns the revision string.
    
    Specified by:
    
    getRevision in interface RevisionHandler
    
    Returns:
    
    the revision
  - preExecution
```
public void preExecution()
                  throws java.lang.Exception
```
    Perform any setup stuff that might need to happen before commandline execution. Subclasses should override if they need to do something here
    
    Specified by:
    
    preExecution in interface CommandlineRunnable
    
    Throws:
    
    java.lang.Exception - if a problem occurs during setup
  - run
```
public void run(java.lang.Object toRun,
                java.lang.String[] options)
         throws java.lang.Exception
```
    Execute the supplied object.
    
    Specified by:
    
    run in interface CommandlineRunnable
    
    Parameters:
    
    toRun - the object to execute
    
    options - any options to pass to the object
    
    Throws:
    
    java.lang.Exception - if the object is not of the expected type.
  - postExecution
```
public void postExecution()
                   throws java.lang.Exception
```
    Perform any teardown stuff that might need to happen after execution. Subclasses should override if they need to do something here
    
    Specified by:
    
    postExecution in interface CommandlineRunnable
    
    Throws:
    
    java.lang.Exception - if a problem occurs during teardown

Class AbstractClassifier

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Methods inherited from interface weka.classifiers.Classifier

Methods inherited from interface weka.core.OptionHandler

Field Detail

NUM_DECIMAL_PLACES_DEFAULT

BATCH_SIZE_DEFAULT

Constructor Detail

AbstractClassifier

Method Detail

forName

makeCopy

makeCopies

runClassifier

classifyInstance

distributionForInstance

listOptions

getOptions

setOptions

getDebug

setDebug

debugTipText

getDoNotCheckCapabilities

setDoNotCheckCapabilities

doNotCheckCapabilitiesTipText

numDecimalPlacesTipText

getNumDecimalPlaces

setNumDecimalPlaces

batchSizeTipText

setBatchSize

getBatchSize

implementsMoreEfficientBatchPrediction

distributionsForInstances

getCapabilities

getRevision

preExecution

run

postExecution