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java.lang.Objectweka.classifiers.Classifier
public abstract class Classifier
Abstract classifier. All schemes for numeric or nominal prediction in Weka extend this class. Note that a classifier MUST either implement distributionForInstance() or classifyInstance().
| Constructor Summary | |
|---|---|
Classifier()
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| Method Summary | |
|---|---|
abstract void |
buildClassifier(Instances data)
Generates a classifier. |
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. |
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. |
Capabilities |
getCapabilities()
Returns the Capabilities of this classifier. |
boolean |
getDebug()
Get whether debugging is turned on. |
java.lang.String[] |
getOptions()
Gets the current settings of the Classifier. |
java.lang.String |
getRevision()
Returns the revision string. |
java.util.Enumeration |
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. |
void |
setDebug(boolean debug)
Set debugging mode. |
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 |
| Constructor Detail |
|---|
public Classifier()
| Method Detail |
|---|
public abstract void buildClassifier(Instances data)
throws java.lang.Exception
data - set of instances serving as training data
java.lang.Exception - if the classifier has not been
generated successfully
public double classifyInstance(Instance instance)
throws java.lang.Exception
instance - the instance to be classified
java.lang.Exception - if an error occurred during the prediction
public double[] distributionForInstance(Instance instance)
throws java.lang.Exception
instance - the instance to be classified
java.lang.Exception - if distribution could not be
computed successfully
public static Classifier forName(java.lang.String classifierName,
java.lang.String[] options)
throws java.lang.Exception
classifierName - the fully qualified class name of the classifieroptions - an array of options suitable for passing to setOptions. May
be null.
java.lang.Exception - if the classifier name is invalid, or the options
supplied are not acceptable to the classifier
public static Classifier makeCopy(Classifier model)
throws java.lang.Exception
model - the classifier to copy
java.lang.Exception - if an error occurs
public static Classifier[] makeCopies(Classifier model,
int num)
throws java.lang.Exception
model - the classifier to copynum - the number of classifier copies to create.
java.lang.Exception - if an error occurspublic java.util.Enumeration listOptions()
listOptions in interface OptionHandler
public void setOptions(java.lang.String[] options)
throws java.lang.Exception
-D
If set, classifier is run in debug mode and
may output additional info to the console.
setOptions in interface OptionHandleroptions - the list of options as an array of strings
java.lang.Exception - if an option is not supportedpublic java.lang.String[] getOptions()
getOptions in interface OptionHandlerpublic void setDebug(boolean debug)
debug - true if debug output should be printedpublic boolean getDebug()
public java.lang.String debugTipText()
public Capabilities getCapabilities()
getCapabilities in interface CapabilitiesHandlerCapabilitiespublic java.lang.String getRevision()
getRevision in interface RevisionHandler
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