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java.lang.Objectweka.classifiers.Classifier
weka.classifiers.trees.UserClassifier
public class UserClassifier
Interactively classify through visual means. You are Presented with a scatter graph of the data against two user selectable attributes, as well as a view of the decision tree. You can create binary splits by creating polygons around data plotted on the scatter graph, as well as by allowing another classifier to take over at points in the decision tree should you see fit.
For more information see:
Malcolm Ware, Eibe Frank, Geoffrey Holmes, Mark Hall, Ian H. Witten (2001). Interactive machine learning: letting users build classifiers. Int. J. Hum.-Comput. Stud.. 55(3):281-292.
@article{Ware2001,
author = {Malcolm Ware and Eibe Frank and Geoffrey Holmes and Mark Hall and Ian H. Witten},
journal = {Int. J. Hum.-Comput. Stud.},
number = {3},
pages = {281-292},
title = {Interactive machine learning: letting users build classifiers},
volume = {55},
year = {2001},
PS = {http://www.cs.waikato.ac.nz/\~ml/publications/2000/00MW-etal-Interactive-ML.ps}
}
Valid options are:
-D If set, classifier is run in debug mode and may output additional info to the console
| Field Summary |
|---|
| Fields inherited from interface weka.core.Drawable |
|---|
BayesNet, Newick, NOT_DRAWABLE, TREE |
| Constructor Summary | |
|---|---|
UserClassifier()
Constructor |
|
| Method Summary | |
|---|---|
void |
buildClassifier(Instances i)
Call this function to build a decision tree for the training data provided. |
double[] |
distributionForInstance(Instance i)
Call this function to get a double array filled with the probability of how likely each class type is the class of the instance. |
Capabilities |
getCapabilities()
Returns default capabilities of the classifier. |
java.lang.String |
getRevision()
Returns the revision string. |
TechnicalInformation |
getTechnicalInformation()
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on. |
java.lang.String |
globalInfo()
This will return a string describing the classifier. |
java.lang.String |
graph()
Returns a string that describes a graph representing the object. |
int |
graphType()
Returns the type of graph this classifier represents. |
static void |
main(java.lang.String[] argv)
Main method for testing this class. |
java.lang.String |
toString()
|
void |
userCommand(TreeDisplayEvent e)
Receives user choices from the tree view, and then deals with these choices. |
void |
userDataEvent(VisualizePanelEvent e)
This receives shapes from the data view. |
| Methods inherited from class weka.classifiers.Classifier |
|---|
classifyInstance, debugTipText, forName, getDebug, getOptions, listOptions, makeCopies, makeCopy, setDebug, setOptions |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
|---|
public UserClassifier()
| Method Detail |
|---|
public static void main(java.lang.String[] argv)
argv - should contain command line options (see setOptions)public java.lang.String toString()
toString in class java.lang.Objectpublic void userCommand(TreeDisplayEvent e)
userCommand in interface TreeDisplayListenere - The choice.public void userDataEvent(VisualizePanelEvent e)
userDataEvent in interface VisualizePanelListenere - Contains the shapes, and other info.public int graphType()
graphType in interface Drawable
public java.lang.String graph()
throws java.lang.Exception
Drawable
graph in interface Drawablejava.lang.Exception - if String can't be built properly.public java.lang.String globalInfo()
public TechnicalInformation getTechnicalInformation()
getTechnicalInformation in interface TechnicalInformationHandlerpublic Capabilities getCapabilities()
getCapabilities in interface CapabilitiesHandlergetCapabilities in class ClassifierCapabilities
public void buildClassifier(Instances i)
throws java.lang.Exception
buildClassifier in class Classifieri - The training data.
java.lang.Exception - if can't build classification properly.
public double[] distributionForInstance(Instance i)
throws java.lang.Exception
distributionForInstance in class Classifieri - The instance to classify.
java.lang.Exception - if can't classify instance.public java.lang.String getRevision()
getRevision in interface RevisionHandlergetRevision in class Classifier
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