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RumaleTop Level Namespace
- BaseRumale
  - ClassifierRumale::Base
  - ClusterAnalyzerRumale::Base
  - Estimator < ObjectRumale::Base
  - EvaluatorRumale::Base
  - RegressorRumale::Base
  - SplitterRumale::Base
  - TransformerRumale::Base
- ClusteringRumale
  - DBSCAN < EstimatorRumale::Clustering
  - GaussianMixture < EstimatorRumale::Clustering
  - HDBSCAN < EstimatorRumale::Clustering
  - KMeans < EstimatorRumale::Clustering
  - KMedoids < EstimatorRumale::Clustering
  - MeanShift < EstimatorRumale::Clustering
  - MiniBatchKMeans < EstimatorRumale::Clustering
  - PowerIteration < EstimatorRumale::Clustering
  - SNN < DBSCANRumale::Clustering
  - SingleLinkage < EstimatorRumale::Clustering
  - SpectralClustering < EstimatorRumale::Clustering
- DatasetRumale
- DecompositionRumale
  - FactorAnalysis < EstimatorRumale::Decomposition
  - FastICA < EstimatorRumale::Decomposition
  - NMF < EstimatorRumale::Decomposition
  - PCA < EstimatorRumale::Decomposition
  - SparsePCA < EstimatorRumale::Decomposition
- EnsembleRumale
  - AdaBoostClassifier < EstimatorRumale::Ensemble
  - AdaBoostRegressor < EstimatorRumale::Ensemble
  - ExtraTreesClassifier < RandomForestClassifierRumale::Ensemble
  - ExtraTreesRegressor < RandomForestRegressorRumale::Ensemble
  - GradientBoostingClassifier < EstimatorRumale::Ensemble
  - GradientBoostingRegressor < EstimatorRumale::Ensemble
  - RandomForestClassifier < EstimatorRumale::Ensemble
  - RandomForestRegressor < EstimatorRumale::Ensemble
  - StackingClassifier < EstimatorRumale::Ensemble
  - StackingRegressor < EstimatorRumale::Ensemble
  - VotingClassifier < EstimatorRumale::Ensemble
  - VotingRegressor < EstimatorRumale::Ensemble
- EvaluationMeasureRumale
  - Accuracy < ObjectRumale::EvaluationMeasure
  - AdjustedRandScore < ObjectRumale::EvaluationMeasure
  - CalinskiHarabaszScore < ObjectRumale::EvaluationMeasure
  - DaviesBouldinScore < ObjectRumale::EvaluationMeasure
  - ExplainedVarianceScore < ObjectRumale::EvaluationMeasure
  - FScore < ObjectRumale::EvaluationMeasure
  - LogLoss < ObjectRumale::EvaluationMeasure
  - MeanAbsoluteError < ObjectRumale::EvaluationMeasure
  - MeanSquaredError < ObjectRumale::EvaluationMeasure
  - MeanSquaredLogError < ObjectRumale::EvaluationMeasure
  - MedianAbsoluteError < ObjectRumale::EvaluationMeasure
  - MutualInformation < ObjectRumale::EvaluationMeasure
  - NormalizedMutualInformation < ObjectRumale::EvaluationMeasure
  - Precision < ObjectRumale::EvaluationMeasure
  - Purity < ObjectRumale::EvaluationMeasure
  - R2Score < ObjectRumale::EvaluationMeasure
  - ROCAUC < ObjectRumale::EvaluationMeasure
  - Recall < ObjectRumale::EvaluationMeasure
  - SilhouetteScore < ObjectRumale::EvaluationMeasure
- FeatureExtractionRumale
  - FeatureHasher < EstimatorRumale::FeatureExtraction
  - HashVectorizer < EstimatorRumale::FeatureExtraction
  - TfidfTransformer < EstimatorRumale::FeatureExtraction
- KernelApproximationRumale
  - Nystroem < EstimatorRumale::KernelApproximation
  - RBF < EstimatorRumale::KernelApproximation
- KernelMachineRumale
  - KernelFDA < EstimatorRumale::KernelMachine
  - KernelPCA < EstimatorRumale::KernelMachine
  - KernelRidge < EstimatorRumale::KernelMachine
  - KernelRidgeClassifier < EstimatorRumale::KernelMachine
  - KernelSVC < EstimatorRumale::KernelMachine
- LinearModelRumale
  - BaseEstimator < EstimatorRumale::LinearModel
  - ElasticNet < BaseEstimatorRumale::LinearModel
  - Lasso < BaseEstimatorRumale::LinearModel
  - LinearRegression < BaseEstimatorRumale::LinearModel
  - LogisticRegression < BaseEstimatorRumale::LinearModel
  - NNLS < BaseEstimatorRumale::LinearModel
  - Ridge < BaseEstimatorRumale::LinearModel
  - SGDClassifier < SGDEstimatorRumale::LinearModel
  - SGDEstimator < BaseEstimatorRumale::LinearModel
  - SGDRegressor < SGDEstimatorRumale::LinearModel
  - SVC < BaseEstimatorRumale::LinearModel
  - SVR < BaseEstimatorRumale::LinearModel
- ManifoldRumale
  - HessianEigenmaps < EstimatorRumale::Manifold
  - LaplacianEigenmaps < EstimatorRumale::Manifold
  - LocalTangentSpaceAlignment < EstimatorRumale::Manifold
  - LocallyLinearEmbedding < EstimatorRumale::Manifold
  - MDS < EstimatorRumale::Manifold
  - TSNE < EstimatorRumale::Manifold
- MetricLearningRumale
  - FisherDiscriminantAnalysis < EstimatorRumale::MetricLearning
  - LocalFisherDiscriminantAnalysis < EstimatorRumale::MetricLearning
  - MLKR < EstimatorRumale::MetricLearning
  - NeighbourhoodComponentAnalysis < EstimatorRumale::MetricLearning
- ModelSelectionRumale
  - CrossValidation < ObjectRumale::ModelSelection
  - GridSearchCV < EstimatorRumale::ModelSelection
  - GroupKFold < ObjectRumale::ModelSelection
  - GroupShuffleSplit < ObjectRumale::ModelSelection
  - KFold < ObjectRumale::ModelSelection
  - ShuffleSplit < ObjectRumale::ModelSelection
  - StratifiedKFold < ObjectRumale::ModelSelection
  - StratifiedShuffleSplit < ObjectRumale::ModelSelection
  - TimeSeriesSplit < ObjectRumale::ModelSelection
- NaiveBayesRumale
  - BaseNaiveBayes < EstimatorRumale::NaiveBayes
  - BernoulliNB < BaseNaiveBayesRumale::NaiveBayes
  - ComplementNB < BaseNaiveBayesRumale::NaiveBayes
  - GaussianNB < BaseNaiveBayesRumale::NaiveBayes
  - MultinomialNB < BaseNaiveBayesRumale::NaiveBayes
  - NegationNB < BaseNaiveBayesRumale::NaiveBayes
- NearestNeighborsRumale
  - KNeighborsClassifier < EstimatorRumale::NearestNeighbors
  - KNeighborsRegressor < EstimatorRumale::NearestNeighbors
- NeuralNetworkRumale
  - BaseMLP < EstimatorRumale::NeuralNetwork
  - BaseRBF < EstimatorRumale::NeuralNetwork
  - BaseRVFL < EstimatorRumale::NeuralNetwork
  - MLPClassifier < BaseMLPRumale::NeuralNetwork
  - MLPRegressor < BaseMLPRumale::NeuralNetwork
  - RBFClassifier < BaseRBFRumale::NeuralNetwork
  - RBFRegressor < BaseRBFRumale::NeuralNetwork
  - RVFLClassifier < BaseRVFLRumale::NeuralNetwork
  - RVFLRegressor < BaseRVFLRumale::NeuralNetwork
- PairwiseMetricRumale
- PipelineRumale
  - FeatureUnion < EstimatorRumale::Pipeline
  - Pipeline < EstimatorRumale::Pipeline
- PreprocessingRumale
  - BinDiscretizer < EstimatorRumale::Preprocessing
  - Binarizer < EstimatorRumale::Preprocessing
  - KernelCalculator < EstimatorRumale::Preprocessing
  - L1Normalizer < EstimatorRumale::Preprocessing
  - L2Normalizer < EstimatorRumale::Preprocessing
  - LabelBinarizer < EstimatorRumale::Preprocessing
  - LabelEncoder < EstimatorRumale::Preprocessing
  - MaxAbsScaler < EstimatorRumale::Preprocessing
  - MaxNormalizer < EstimatorRumale::Preprocessing
  - MinMaxScaler < EstimatorRumale::Preprocessing
  - OneHotEncoder < EstimatorRumale::Preprocessing
  - OrdinalEncoder < EstimatorRumale::Preprocessing
  - PolynomialFeatures < EstimatorRumale::Preprocessing
  - StandardScaler < EstimatorRumale::Preprocessing
- ProbabilisticOutputRumale
- TreeRumale
  - BaseDecisionTree < EstimatorRumale::Tree
  - DecisionTreeClassifier < BaseDecisionTreeRumale::Tree
  - DecisionTreeRegressor < BaseDecisionTreeRumale::Tree
  - ExtraTreeClassifier < DecisionTreeClassifierRumale::Tree
  - ExtraTreeRegressor < DecisionTreeRegressorRumale::Tree
  - GradientTreeRegressor < EstimatorRumale::Tree
  - Node < ObjectRumale::Tree