netkit.classifiers.nonrelational
Class LocalMetaClassifier
java.lang.Object
netkit.classifiers.ClassifierImp
netkit.classifiers.nonrelational.LocalMetaClassifier
- All Implemented Interfaces:
- Classifier, Configurable
- Direct Known Subclasses:
- MetaMultiplicative
public abstract class LocalMetaClassifier
- extends ClassifierImp
Abstract class for combining multiple classifiers. It configures itself with the list of
classifiers to use and induces them individually. How to combine them is left to subclasses.
It uses the Networklearning.LC_PREFIX
property from the configuration details
specified in the lclassifier.properties
file (in addition to any properties
used by the superclass).
- Author:
- Sofus A. Macskassy (sofmac@gmail.com)
Fields inherited from class netkit.classifiers.ClassifierImp |
attribute, classPrior, clsIdx, graph, keyIndex, logger, nodeType, right, tmpVector, useIntrinsic, vectorClsIdx |
Methods inherited from class netkit.classifiers.ClassifierImp |
addListener, classify, classify, clearListeners, estimate, estimate, getAttributeNames, getLogger, getNofifyListeners, makeVector, notifyListeners, notifyListeners, removeListener, reset, setNofityListeners |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
lclassifiers
protected java.util.ArrayList<Classifier> lclassifiers
- The list of classifiers to combine
LocalMetaClassifier
public LocalMetaClassifier()
getDefaultConfiguration
public Configuration getDefaultConfiguration()
- Default configuration uses only the naive Bayes classifier in addition to any
defaults from the superclass
- Specified by:
getDefaultConfiguration
in interface Configurable
- Overrides:
getDefaultConfiguration
in class ClassifierImp
- Returns:
- a default Configuration object
configure
public void configure(Configuration config)
- Configures the classifier by getting the list of classifiers to use (comma-separated
list in the
NetworkLearning.LC_PREFIX
property.
- Specified by:
configure
in interface Configurable
- Overrides:
configure
in class ClassifierImp
- Parameters:
config
- The configuration object to use to configure this classifier.- See Also:
netkit.classifiers.NetworkLearning.LC_PREFIX
induceModel
public void induceModel(Graph graph,
DataSplit split)
- This induces each of the local classifiers individually. If learning need
be done to learn how to combine them, then that needs to be done by subclasses.
- Specified by:
induceModel
in interface Classifier
- Overrides:
induceModel
in class ClassifierImp
- Parameters:
graph
- Graph whose nodes are to be estimatedsplit
- The split between training and test. Used to get the nodetype and class attribute.
getClassifierNames
protected java.lang.String getClassifierNames()
- Returns:
- the list of classifier names from the configuration object when configure was called
- See Also:
configure(netkit.util.Configuration)