Uses of Interface
smile.classification.Classifier

Packages that use Classifier

Package	Description
smile.classification	Classification algorithms.
smile.validation	Model validation.

Uses of Classifier in smile.classification

Subinterfaces of Classifier in smile.classification

Modifier and Type	Interface and Description
interface	OnlineClassifier<T> Classifier with online learning capability.

Classes in smile.classification that implement Classifier

Modifier and Type	Class and Description
class	AdaBoost AdaBoost (Adaptive Boosting) classifier with decision trees.
class	DecisionTree Decision tree for classification.
class	FLD Fisher's linear discriminant.
class	GradientTreeBoost Gradient boosting for classification.
class	KNN<T> K-nearest neighbor classifier.
class	LDA Linear discriminant analysis.
class	LogisticRegression Logistic regression.
class	Maxent Maximum Entropy Classifier.
class	NaiveBayes Naive Bayes classifier.
class	NeuralNetwork Multilayer perceptron neural network.
class	QDA Quadratic discriminant analysis.
class	RandomForest Random forest for classification.
class	RBFNetwork<T> Radial basis function networks.
class	RDA Regularized discriminant analysis.
class	SVM<T> Support vector machines for classification.

Methods in smile.classification that return Classifier

Modifier and Type	Method and Description
abstract Classifier<T>	ClassifierTrainer.train(T[] x, int[] y) Learns a classifier with given training data.

Uses of Classifier in smile.validation

Methods in smile.validation with parameters of type Classifier

Modifier and Type	Method and Description
static <T> double	Validation.test(Classifier<T> classifier, T[] x, int[] y) Tests a classifier on a validation set.
static <T> double	Validation.test(Classifier<T> classifier, T[] x, int[] y, ClassificationMeasure measure) Tests a classifier on a validation set.
static <T> double[]	Validation.test(Classifier<T> classifier, T[] x, int[] y, ClassificationMeasure[] measures) Tests a classifier on a validation set.