| Package | Description |
|---|---|
| smile.classification |
Classification algorithms.
|
| smile.feature |
Feature generation, normalization and selection.
|
| smile.validation |
Model validation.
|
| Class and Description |
|---|
| AdaBoost
AdaBoost (Adaptive Boosting) classifier with decision trees.
|
| AdaBoost.Trainer
Trainer for AdaBoost classifiers.
|
| 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.
|
| DecisionTree.Trainer
Trainer for decision tree classifiers.
|
| FLD
Fisher's linear discriminant.
|
| FLD.Trainer
Trainer for Fisher's linear discriminant.
|
| GradientTreeBoost
Gradient boosting for classification.
|
| GradientTreeBoost.Trainer
Trainer for GradientTreeBoost classifiers.
|
| KNN
K-nearest neighbor classifier.
|
| LDA
Linear discriminant analysis.
|
| LDA.Trainer
Trainer for linear discriminant analysis.
|
| LogisticRegression
Logistic regression.
|
| LogisticRegression.Trainer
Trainer for logistic regression.
|
| Maxent
Maximum Entropy Classifier.
|
| Maxent.Trainer
Trainer for maximum entropy classifier.
|
| NaiveBayes
Naive Bayes classifier.
|
| NaiveBayes.Model
The generation models of naive Bayes classifier.
|
| NaiveBayes.Trainer
Trainer for naive Bayes classifier for document classification.
|
| NeuralNetwork
Multilayer perceptron neural network.
|
| NeuralNetwork.ActivationFunction
The types of activation functions in output layer.
|
| NeuralNetwork.ErrorFunction
The types of error functions.
|
| NeuralNetwork.Trainer
Trainer for neural networks.
|
| OnlineClassifier
Classifier with online learning capability.
|
| QDA
Quadratic discriminant analysis.
|
| QDA.Trainer
Trainer for quadratic discriminant analysis.
|
| RandomForest
Random forest for classification.
|
| RandomForest.Trainer
Trainer for random forest classifiers.
|
| RBFNetwork
Radial basis function networks.
|
| RBFNetwork.Trainer
Trainer for RBF networks.
|
| RDA
Regularized discriminant analysis.
|
| RDA.Trainer
Trainer for regularized discriminant analysis.
|
| SVM
Support vector machines for classification.
|
| SVM.Multiclass
The type of multi-class SVMs.
|
| SVM.Trainer
Trainer for support vector machines.
|
| Class and Description |
|---|
| ClassifierTrainer
Abstract classifier trainer.
|
| Class and Description |
|---|
| Classifier
A classifier assigns an input object into one of a given number of categories.
|
| ClassifierTrainer
Abstract classifier trainer.
|
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