Documentation by YARD 0.9.38

Alphabetic Index

File Listing

README

Namespace Listing A-Z

A

Accuracy (Rumale::EvaluationMeasure)
AdaBoostClassifier (Rumale::Ensemble)
AdaBoostRegressor (Rumale::Ensemble)
AdjustedRandScore (Rumale::EvaluationMeasure)

B

Base (Rumale)
BaseDecisionTree (Rumale::Tree)
BaseEstimator (Rumale::LinearModel)
BaseMLP (Rumale::NeuralNetwork)
BaseNaiveBayes (Rumale::NaiveBayes)
BaseRBF (Rumale::NeuralNetwork)
BaseRVFL (Rumale::NeuralNetwork)
BernoulliNB (Rumale::NaiveBayes)
BinDiscretizer (Rumale::Preprocessing)
Binarizer (Rumale::Preprocessing)

C

CalinskiHarabaszScore (Rumale::EvaluationMeasure)
ClassicalMDS (Rumale::Manifold)
Classifier (Rumale::Base)
ClusterAnalyzer (Rumale::Base)
Clustering (Rumale)
ComplementNB (Rumale::NaiveBayes)
CrossValidation (Rumale::ModelSelection)

D

DBSCAN (Rumale::Clustering)
Dataset (Rumale)
DaviesBouldinScore (Rumale::EvaluationMeasure)
DecisionTreeClassifier (Rumale::Tree)
DecisionTreeRegressor (Rumale::Tree)
Decomposition (Rumale)

E

ElasticNet (Rumale::LinearModel)
Ensemble (Rumale)
Estimator (Rumale::Base)
EvaluationMeasure (Rumale)
Evaluator (Rumale::Base)
ExplainedVarianceScore (Rumale::EvaluationMeasure)
ExtraTreeClassifier (Rumale::Tree)
ExtraTreeRegressor (Rumale::Tree)
ExtraTreesClassifier (Rumale::Ensemble)
ExtraTreesRegressor (Rumale::Ensemble)

F

FScore (Rumale::EvaluationMeasure)
FactorAnalysis (Rumale::Decomposition)
FastICA (Rumale::Decomposition)
FeatureExtraction (Rumale)
FeatureHasher (Rumale::FeatureExtraction)
FeatureUnion (Rumale::Pipeline)
FisherDiscriminantAnalysis (Rumale::MetricLearning)

G

GaussianMixture (Rumale::Clustering)
GaussianNB (Rumale::NaiveBayes)
GradientBoostingClassifier (Rumale::Ensemble)
GradientBoostingRegressor (Rumale::Ensemble)
GradientTreeRegressor (Rumale::Tree)
GridSearchCV (Rumale::ModelSelection)
GroupKFold (Rumale::ModelSelection)
GroupShuffleSplit (Rumale::ModelSelection)

H

HDBSCAN (Rumale::Clustering)
HashVectorizer (Rumale::FeatureExtraction)
HessianEigenmaps (Rumale::Manifold)

K

KFold (Rumale::ModelSelection)
KMeans (Rumale::Clustering)
KMedoids (Rumale::Clustering)
KNeighborsClassifier (Rumale::NearestNeighbors)
KNeighborsRegressor (Rumale::NearestNeighbors)
KernelApproximation (Rumale)
KernelCalculator (Rumale::Preprocessing)
KernelFDA (Rumale::KernelMachine)
KernelMachine (Rumale)
KernelPCA (Rumale::KernelMachine)
KernelRidge (Rumale::KernelMachine)
KernelRidgeClassifier (Rumale::KernelMachine)
KernelSVC (Rumale::KernelMachine)

L

L1Normalizer (Rumale::Preprocessing)
L2Normalizer (Rumale::Preprocessing)
LabelBinarizer (Rumale::Preprocessing)
LabelEncoder (Rumale::Preprocessing)
LaplacianEigenmaps (Rumale::Manifold)
Lasso (Rumale::LinearModel)
LinearModel (Rumale)
LinearRegression (Rumale::LinearModel)
LocalFisherDiscriminantAnalysis (Rumale::MetricLearning)
LocalTangentSpaceAlignment (Rumale::Manifold)
LocallyLinearEmbedding (Rumale::Manifold)
LogLoss (Rumale::EvaluationMeasure)
LogisticRegression (Rumale::LinearModel)

M

MDS (Rumale::Manifold)
MLKR (Rumale::MetricLearning)
MLPClassifier (Rumale::NeuralNetwork)
MLPRegressor (Rumale::NeuralNetwork)
Manifold (Rumale)
MaxAbsScaler (Rumale::Preprocessing)
MaxNormalizer (Rumale::Preprocessing)
MeanAbsoluteError (Rumale::EvaluationMeasure)
MeanShift (Rumale::Clustering)
MeanSquaredError (Rumale::EvaluationMeasure)
MeanSquaredLogError (Rumale::EvaluationMeasure)
MedianAbsoluteError (Rumale::EvaluationMeasure)
MetricLearning (Rumale)
MinMaxScaler (Rumale::Preprocessing)
MiniBatchKMeans (Rumale::Clustering)
ModelSelection (Rumale)
MultinomialNB (Rumale::NaiveBayes)
MutualInformation (Rumale::EvaluationMeasure)

N

NMF (Rumale::Decomposition)
NNLS (Rumale::LinearModel)
NaiveBayes (Rumale)
NearestNeighbors (Rumale)
NegationNB (Rumale::NaiveBayes)
NeighbourhoodComponentAnalysis (Rumale::MetricLearning)
NeuralNetwork (Rumale)
Node (Rumale::Tree)
NormalizedMutualInformation (Rumale::EvaluationMeasure)
Nystroem (Rumale::KernelApproximation)

O

OneHotEncoder (Rumale::Preprocessing)
OrdinalEncoder (Rumale::Preprocessing)

P

PCA (Rumale::Decomposition)
PairwiseMetric (Rumale)
Pipeline (Rumale::Pipeline)
Pipeline (Rumale)
PolynomialFeatures (Rumale::Preprocessing)
PowerIteration (Rumale::Clustering)
Precision (Rumale::EvaluationMeasure)
Preprocessing (Rumale)
ProbabilisticOutput (Rumale)
Purity (Rumale::EvaluationMeasure)

R

R2Score (Rumale::EvaluationMeasure)
RBF (Rumale::KernelApproximation)
RBFClassifier (Rumale::NeuralNetwork)
RBFRegressor (Rumale::NeuralNetwork)
ROCAUC (Rumale::EvaluationMeasure)
RVFLClassifier (Rumale::NeuralNetwork)
RVFLRegressor (Rumale::NeuralNetwork)
RandomForestClassifier (Rumale::Ensemble)
RandomForestRegressor (Rumale::Ensemble)
Recall (Rumale::EvaluationMeasure)
Regressor (Rumale::Base)
Ridge (Rumale::LinearModel)
Rumale

S

SGDClassifier (Rumale::LinearModel)
SGDEstimator (Rumale::LinearModel)
SGDRegressor (Rumale::LinearModel)
SNN (Rumale::Clustering)
SVC (Rumale::LinearModel)
SVR (Rumale::LinearModel)
ShuffleSplit (Rumale::ModelSelection)
SilhouetteScore (Rumale::EvaluationMeasure)
SingleLinkage (Rumale::Clustering)
SparsePCA (Rumale::Decomposition)
SpectralClustering (Rumale::Clustering)
Splitter (Rumale::Base)
StackingClassifier (Rumale::Ensemble)
StackingRegressor (Rumale::Ensemble)
StandardScaler (Rumale::Preprocessing)
StratifiedKFold (Rumale::ModelSelection)
StratifiedShuffleSplit (Rumale::ModelSelection)

T

TSNE (Rumale::Manifold)
TfidfTransformer (Rumale::FeatureExtraction)
TimeSeriesSplit (Rumale::ModelSelection)
Transformer (Rumale::Base)
Tree (Rumale)

V

VRTreeClassifier (Rumale::Tree)
VRTreeRegressor (Rumale::Tree)
VRTreesClassifier (Rumale::Ensemble)
VRTreesRegressor (Rumale::Ensemble)
VotingClassifier (Rumale::Ensemble)
VotingRegressor (Rumale::Ensemble)