Class List
- RumaleTop Level Namespace
- BaseRumale
- BaseEstimatorRumale::Base
- ClassifierRumale::Base
- ClusterAnalyzerRumale::Base
- EvaluatorRumale::Base
- RegressorRumale::Base
- SplitterRumale::Base
- TransformerRumale::Base
- ClusteringRumale
- DBSCAN < ObjectRumale::Clustering
- GaussianMixture < ObjectRumale::Clustering
- KMeans < ObjectRumale::Clustering
- KMedoids < ObjectRumale::Clustering
- PowerIteration < ObjectRumale::Clustering
- DatasetRumale
- DecompositionRumale
- EnsembleRumale
- AdaBoostClassifier < ObjectRumale::Ensemble
- AdaBoostRegressor < ObjectRumale::Ensemble
- ExtraTreesClassifier < RandomForestClassifierRumale::Ensemble
- ExtraTreesRegressor < RandomForestRegressorRumale::Ensemble
- GradientBoostingClassifier < ObjectRumale::Ensemble
- GradientBoostingRegressor < ObjectRumale::Ensemble
- RandomForestClassifier < ObjectRumale::Ensemble
- RandomForestRegressor < ObjectRumale::Ensemble
- EvaluationMeasureRumale
- Accuracy < ObjectRumale::EvaluationMeasure
- AdjustedRandScore < 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
- KernelApproximationRumale
- RBF < ObjectRumale::KernelApproximation
- KernelMachineRumale
- KernelSVC < ObjectRumale::KernelMachine
- LinearModelRumale
- BaseLinearModel < ObjectRumale::LinearModel
- Lasso < BaseLinearModelRumale::LinearModel
- LinearRegression < BaseLinearModelRumale::LinearModel
- LogisticRegression < BaseLinearModelRumale::LinearModel
- Ridge < BaseLinearModelRumale::LinearModel
- SVC < BaseLinearModelRumale::LinearModel
- SVR < BaseLinearModelRumale::LinearModel
- ManifoldRumale
- ModelSelectionRumale
- CrossValidation < ObjectRumale::ModelSelection
- GridSearchCV < ObjectRumale::ModelSelection
- KFold < ObjectRumale::ModelSelection
- ShuffleSplit < ObjectRumale::ModelSelection
- StratifiedKFold < ObjectRumale::ModelSelection
- StratifiedShuffleSplit < ObjectRumale::ModelSelection
- MulticlassRumale
- OneVsRestClassifier < ObjectRumale::Multiclass
- NaiveBayesRumale
- BaseNaiveBayes < ObjectRumale::NaiveBayes
- BernoulliNB < BaseNaiveBayesRumale::NaiveBayes
- GaussianNB < BaseNaiveBayesRumale::NaiveBayes
- MultinomialNB < BaseNaiveBayesRumale::NaiveBayes
- NearestNeighborsRumale
- KNeighborsClassifier < ObjectRumale::NearestNeighbors
- KNeighborsRegressor < ObjectRumale::NearestNeighbors
- OptimizerRumale
- PairwiseMetricRumale
- PipelineRumale
- Pipeline < ObjectRumale::Pipeline
- PolynomialModelRumale
- BaseFactorizationMachine < ObjectRumale::PolynomialModel
- FactorizationMachineClassifier < BaseFactorizationMachineRumale::PolynomialModel
- FactorizationMachineRegressor < BaseFactorizationMachineRumale::PolynomialModel
- PreprocessingRumale
- BinDiscretizer < ObjectRumale::Preprocessing
- L2Normalizer < ObjectRumale::Preprocessing
- LabelEncoder < ObjectRumale::Preprocessing
- MaxAbsScaler < ObjectRumale::Preprocessing
- MinMaxScaler < ObjectRumale::Preprocessing
- OneHotEncoder < ObjectRumale::Preprocessing
- OrdinalEncoder < ObjectRumale::Preprocessing
- StandardScaler < ObjectRumale::Preprocessing
- ProbabilisticOutputRumale
- TreeRumale
- BaseDecisionTree < ObjectRumale::Tree
- DecisionTreeClassifier < BaseDecisionTreeRumale::Tree
- DecisionTreeRegressor < BaseDecisionTreeRumale::Tree
- ExtraTreeClassifier < DecisionTreeClassifierRumale::Tree
- ExtraTreeRegressor < DecisionTreeRegressorRumale::Tree
- GradientTreeRegressor < ObjectRumale::Tree
- Node < ObjectRumale::Tree