annotool.classify
Interface Classifier

All Known Subinterfaces:

SavableClassifier

public interface Classifier

Classifier returns a prediction based on training and testing image sets.

See Also:

SavableClassifier

Method Summary

void	classify(float[][] trainingpatterns, int[] trainingtargets, float[][] testingpatterns, int[] predictions, double[] prob) Classifies the patterns using the input parameters.
boolean	doesSupportProbability() Returns whether or not the algorithm uses probability estimations.
void	setParameters(java.util.HashMap<java.lang.String,java.lang.String> para) Sets algorithm parameters from para

Method Detail

setParameters

void setParameters(java.util.HashMap<java.lang.String,java.lang.String> para)

Sets algorithm parameters from para

Parameters:

para - Each element of para holds a parameter name for its key and a its value is that of the parameter. The parameters should be the same as those in the algorithms.xml file.

classify

void classify(float[][] trainingpatterns,
              int[] trainingtargets,
              float[][] testingpatterns,
              int[] predictions,
              double[] prob)
              throws java.lang.Exception

Classifies the patterns using the input parameters.

Parameters:

trainingpatterns - Pattern data to train the algorithm

trainingtargets - Targets for the training pattern

testingpatterns - Pattern data to be classified

predictions - Storage for the resulting prediction

prob - Storage for probability result

Throws:

java.lang.Exception - Optional, generic exception to be thrown

doesSupportProbability

boolean doesSupportProbability()

Returns whether or not the algorithm uses probability estimations.

Returns:

True if the algorithm uses probability estimations, False if not