stream.news.learner.anchorshotdetection

Class ApplyDecisionTreeModel

java.lang.Object

stream.AbstractProcessor

stream.news.learner.anchorshotdetection.ApplyDecisionTreeModel

All Implemented Interfaces:

stream.Processor, stream.StatefulProcessor

public class ApplyDecisionTreeModel
extends stream.AbstractProcessor

This processor classifies a news video into anchorshots and news report shots, by applying a decision tree to each example.

Author:

Matthias

Field Summary

Fields inherited from class stream.AbstractProcessor

context

Constructor Summary

Constructors

Constructor and Description
ApplyDecisionTreeModel()

Method Summary

Methods

Modifier and Type	Method and Description
String	getPredictionkey() Delivers the key under which the classifier currently stores the predicted label.
stream.Data	process(stream.Data input)
void	setPredictionkey(String predictionkey) Sets the key under which the classifier shall store the predicted label.

Methods inherited from class stream.AbstractProcessor

finish, init, resetState

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

ApplyDecisionTreeModel

public ApplyDecisionTreeModel()

Method Detail

setPredictionkey

public void setPredictionkey(String predictionkey)

Sets the key under which the classifier shall store the predicted label.

Parameters:

predictionkey -

getPredictionkey

public String getPredictionkey()

Delivers the key under which the classifier currently stores the predicted label.

Returns:

process

public stream.Data process(stream.Data input)