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SVMKitTop Level Namespace
- BaseSVMKit
  - BaseEstimatorSVMKit::Base
  - ClassifierSVMKit::Base
  - ClusterAnalyzerSVMKit::Base
  - EvaluatorSVMKit::Base
  - RegressorSVMKit::Base
  - SplitterSVMKit::Base
  - TransformerSVMKit::Base
- ClusteringSVMKit
  - DBSCAN < ObjectSVMKit::Clustering
  - KMeans < ObjectSVMKit::Clustering
- DatasetSVMKit
- DecompositionSVMKit
  - NMF < ObjectSVMKit::Decomposition
  - PCA < ObjectSVMKit::Decomposition
- EnsembleSVMKit
  - RandomForestClassifier < ObjectSVMKit::Ensemble
  - RandomForestRegressor < ObjectSVMKit::Ensemble
- EvaluationMeasureSVMKit
  - Accuracy < ObjectSVMKit::EvaluationMeasure
  - FScore < ObjectSVMKit::EvaluationMeasure
  - LogLoss < ObjectSVMKit::EvaluationMeasure
  - MeanAbsoluteError < ObjectSVMKit::EvaluationMeasure
  - MeanSquaredError < ObjectSVMKit::EvaluationMeasure
  - NormalizedMutualInformation < ObjectSVMKit::EvaluationMeasure
  - Precision < ObjectSVMKit::EvaluationMeasure
  - Purity < ObjectSVMKit::EvaluationMeasure
  - R2Score < ObjectSVMKit::EvaluationMeasure
  - Recall < ObjectSVMKit::EvaluationMeasure
- KernelApproximationSVMKit
  - RBF < ObjectSVMKit::KernelApproximation
- KernelMachineSVMKit
  - KernelSVC < ObjectSVMKit::KernelMachine
- LinearModelSVMKit
  - Lasso < SGDLinearEstimatorSVMKit::LinearModel
  - LinearRegression < SGDLinearEstimatorSVMKit::LinearModel
  - LogisticRegression < SGDLinearEstimatorSVMKit::LinearModel
  - Ridge < SGDLinearEstimatorSVMKit::LinearModel
  - SGDLinearEstimator < ObjectSVMKit::LinearModel
  - SVC < SGDLinearEstimatorSVMKit::LinearModel
  - SVR < SGDLinearEstimatorSVMKit::LinearModel
- ModelSelectionSVMKit
  - CrossValidation < ObjectSVMKit::ModelSelection
  - KFold < ObjectSVMKit::ModelSelection
  - StratifiedKFold < ObjectSVMKit::ModelSelection
- MulticlassSVMKit
  - OneVsRestClassifier < ObjectSVMKit::Multiclass
- NaiveBayesSVMKit
  - BaseNaiveBayes < ObjectSVMKit::NaiveBayes
  - BernoulliNB < BaseNaiveBayesSVMKit::NaiveBayes
  - GaussianNB < BaseNaiveBayesSVMKit::NaiveBayes
  - MultinomialNB < BaseNaiveBayesSVMKit::NaiveBayes
- NearestNeighborsSVMKit
  - KNeighborsClassifier < ObjectSVMKit::NearestNeighbors
  - KNeighborsRegressor < ObjectSVMKit::NearestNeighbors
- OptimizerSVMKit
  - Nadam < ObjectSVMKit::Optimizer
  - RMSProp < ObjectSVMKit::Optimizer
  - SGD < ObjectSVMKit::Optimizer
  - YellowFin < ObjectSVMKit::Optimizer
- PairwiseMetricSVMKit
- PolynomialModelSVMKit
  - FactorizationMachineClassifier < ObjectSVMKit::PolynomialModel
  - FactorizationMachineRegressor < ObjectSVMKit::PolynomialModel
- PreprocessingSVMKit
  - L2Normalizer < ObjectSVMKit::Preprocessing
  - LabelEncoder < ObjectSVMKit::Preprocessing
  - MinMaxScaler < ObjectSVMKit::Preprocessing
  - OneHotEncoder < ObjectSVMKit::Preprocessing
  - StandardScaler < ObjectSVMKit::Preprocessing
- ProbabilisticOutputSVMKit
- TreeSVMKit
  - DecisionTreeClassifier < ObjectSVMKit::Tree
  - DecisionTreeRegressor < ObjectSVMKit::Tree
  - Node < ObjectSVMKit::Tree