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java.lang.Objectse.lth.cs.nlp.nlputils.ml.Classifier<T>
se.lth.cs.nlp.nlputils.ml.BinaryNumericClassifier<T>
public abstract class BinaryNumericClassifier<T>
Abstract class for binary numeric classifiers, such as classical linear or quadratic models.
| Field Summary | |
|---|---|
protected Object[] |
classes
The range of output values. |
protected NumericEncoding |
encoding
The numeric encoding that maps feature values to indices. |
| Fields inherited from class se.lth.cs.nlp.nlputils.ml.Classifier |
|---|
extractor, list |
| Constructor Summary | |
|---|---|
BinaryNumericClassifier()
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| Method Summary | |
|---|---|
double |
apply(FeatureList features)
Auxiliary method that encodes the features and calls apply. |
abstract double |
apply(int[] featureIndices)
Applies the discriminator function. |
Object |
classify(FeatureList features)
Performs a classification given a feature list. |
| Methods inherited from class se.lth.cs.nlp.nlputils.ml.Classifier |
|---|
classify, classifyRestricted, setFeatureExtractor |
| Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
|---|
protected Object[] classes
classes[0] is returned when apply returns
a positive value. Should have a length of 2.
protected NumericEncoding encoding
| Constructor Detail |
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public BinaryNumericClassifier()
| Method Detail |
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public abstract double apply(int[] featureIndices)
featureIndices - the sorted array of feature indices.
public double apply(FeatureList features)
apply.
features - the feature list to classify.
public Object classify(FeatureList features)
Classifier
classify in class Classifier<T>features - the feature list.
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