public class LinearPerceptron extends Perceptron implements LinearMethod
[Rosenblatt1957] F. Rosenblatt. The Perceptron – a perceiving and recognizing automaton. Report 85-460-1, Cornell Aeronautical Laboratory (1957)
alpha, classifier, label, margin, unbiased
Constructor and Description |
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LinearPerceptron() |
LinearPerceptron(float alpha,
float margin,
boolean unbiased,
String representation,
Label label) |
Modifier and Type | Method and Description |
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LinearPerceptron |
duplicate()
Creates a new instance of the LearningAlgorithm initialized with the same parameters
of the learningAlgorithm to be duplicated.
|
BinaryLinearClassifier |
getPredictionFunction()
Returns the classifier learned during the training process
|
String |
getRepresentation()
Returns the representation this learning algorithm exploits
|
void |
setRepresentation(String representation)
Sets the representation this learning algorithm will exploit
|
getAlpha, getLabel, getLabels, getMargin, isUnbiased, learn, learn, reset, setAlpha, setLabel, setLabels, setMargin, setUnbiased
public String getRepresentation()
LinearMethod
getRepresentation
in interface LinearMethod
public void setRepresentation(String representation)
LinearMethod
setRepresentation
in interface LinearMethod
representation
- the representation to setpublic LinearPerceptron duplicate()
LearningAlgorithm
duplicate
in interface LearningAlgorithm
public BinaryLinearClassifier getPredictionFunction()
ClassificationLearningAlgorithm
getPredictionFunction
in interface ClassificationLearningAlgorithm
getPredictionFunction
in interface LearningAlgorithm
getPredictionFunction
in class Perceptron
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