Package smile.classification

Class AbstractClassifier<T>

java.lang.Object

smile.classification.AbstractClassifier<T>

Type Parameters:

T - the type of input object

All Implemented Interfaces:

Serializable, ToDoubleFunction<T>, ToIntFunction<T>, Classifier<T>

Direct Known Subclasses:

AdaBoost, DiscreteNaiveBayes, FLD, GradientTreeBoost, KNN, LDA, LogisticRegression, Maxent, NaiveBayes, OneVersusOne, OneVersusRest, QDA, RandomForest, RBFNetwork, SparseLogisticRegression

public abstract class AbstractClassifier<T>
extends Object
implements Classifier<T>

Abstract base class of classifiers.

See Also:

• Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from interface smile.classification.Classifier

Classifier.Trainer<T,M extends Classifier<T>>

Field Summary

Fields

Modifier and Type	Field	Description
protected final smile.util.IntSet	classes	The class labels.

Constructor Summary

Constructors

Constructor	Description
AbstractClassifier(int[] y)	Constructor.
AbstractClassifier(smile.data.vector.BaseVector<?,?,?> y)	Constructor.
AbstractClassifier(smile.util.IntSet classes)	Constructor.

Method Summary

Modifier and Type	Method	Description
int[]	classes()	Returns the class labels.
int	numClasses()	Returns the number of classes.

Methods inherited from class java.lang.Object

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

Methods inherited from interface smile.classification.Classifier

applyAsDouble, applyAsInt, online, predict, predict, predict, predict, predict, predict, predict, predict, score, soft, update, update, update

Field Details

classes

protected final smile.util.IntSet classes

The class labels.

Constructor Details

AbstractClassifier

public AbstractClassifier(smile.util.IntSet classes)

Constructor.

Parameters:

classes - the class labels.

AbstractClassifier

public AbstractClassifier(int[] y)

Constructor.

Parameters:

y - the sample labels.

AbstractClassifier

public AbstractClassifier(smile.data.vector.BaseVector<?,?,?> y)

Constructor.

Parameters:

y - the sample labels.

Method Details

numClasses

public int numClasses()

Description copied from interface: Classifier

Returns the number of classes.

Specified by:

numClasses in interface Classifier<T>

Returns:

the number of classes.

classes

public int[] classes()

Description copied from interface: Classifier

Returns the class labels.

Specified by:

classes in interface Classifier<T>

Returns:

the class labels.