Uses of Package
smile.classification

Packages that use smile.classification

Package	Description
smile.classification	Classification algorithms.
smile.feature	Feature generation, normalization and selection.
smile.validation	Model validation.

Classes in smile.classification used by smile.classification

Class and Description
AdaBoost AdaBoost (Adaptive Boosting) classifier with decision trees.
Classifier A classifier assigns an input object into one of a given number of categories.
ClassifierTrainer Abstract classifier trainer.
DecisionTree Decision tree for classification.
DecisionTree.SplitRule The criterion to choose variable to split instances.
FLD Fisher's linear discriminant.
GradientTreeBoost Gradient boosting for classification.
KNN K-nearest neighbor classifier.
LDA Linear discriminant analysis.
LogisticRegression Logistic regression.
Maxent Maximum Entropy Classifier.
NaiveBayes Naive Bayes classifier.
NaiveBayes.Model The generation models of naive Bayes classifier.
NeuralNetwork Multilayer perceptron neural network.
NeuralNetwork.ActivationFunction The types of activation functions in output layer.
NeuralNetwork.ErrorFunction The types of error functions.
OnlineClassifier Classifier with online learning capability.
QDA Quadratic discriminant analysis.
RandomForest Random forest for classification.
RBFNetwork Radial basis function networks.
RDA Regularized discriminant analysis.
SVM Support vector machines for classification.
SVM.Multiclass The type of multi-class SVMs.

Classes in smile.classification used by smile.feature

Class and Description
ClassifierTrainer Abstract classifier trainer.

Classes in smile.classification used by smile.validation

Class and Description
Classifier A classifier assigns an input object into one of a given number of categories.
ClassifierTrainer Abstract classifier trainer.