Documentation for rumale (0.10.0)

Alphabetic Index

File Listing

README

Namespace Listing A-Z

A

Accuracy (Rumale::EvaluationMeasure)
AdaBoostClassifier (Rumale::Ensemble)
AdaBoostRegressor (Rumale::Ensemble)
AdaGrad (Rumale::Optimizer)
Adam (Rumale::Optimizer)
AdjustedRandScore (Rumale::EvaluationMeasure)

B

Base (Rumale)
BaseDecisionTree (Rumale::Tree)
BaseEstimator (Rumale::Base)
BaseFactorizationMachine (Rumale::PolynomialModel)
BaseLinearModel (Rumale::LinearModel)
BaseNaiveBayes (Rumale::NaiveBayes)
BernoulliNB (Rumale::NaiveBayes)
BinDiscretizer (Rumale::Preprocessing)

C

Classifier (Rumale::Base)
ClusterAnalyzer (Rumale::Base)
Clustering (Rumale)
CrossValidation (Rumale::ModelSelection)

D

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

E

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

F

FScore (Rumale::EvaluationMeasure)
FactorizationMachineClassifier (Rumale::PolynomialModel)
FactorizationMachineRegressor (Rumale::PolynomialModel)

G

GaussianNB (Rumale::NaiveBayes)
GradientBoostingClassifier (Rumale::Ensemble)
GradientBoostingRegressor (Rumale::Ensemble)
GradientTreeRegressor (Rumale::Tree)
GridSearchCV (Rumale::ModelSelection)

K

KFold (Rumale::ModelSelection)
KMeans (Rumale::Clustering)
KNeighborsClassifier (Rumale::NearestNeighbors)
KNeighborsRegressor (Rumale::NearestNeighbors)
KernelApproximation (Rumale)
KernelMachine (Rumale)
KernelSVC (Rumale::KernelMachine)

L

L2Normalizer (Rumale::Preprocessing)
LabelEncoder (Rumale::Preprocessing)
Lasso (Rumale::LinearModel)
LinearModel (Rumale)
LinearRegression (Rumale::LinearModel)
LogLoss (Rumale::EvaluationMeasure)
LogisticRegression (Rumale::LinearModel)

M

Manifold (Rumale)
MaxAbsScaler (Rumale::Preprocessing)
MeanAbsoluteError (Rumale::EvaluationMeasure)
MeanSquaredError (Rumale::EvaluationMeasure)
MeanSquaredLogError (Rumale::EvaluationMeasure)
MedianAbsoluteError (Rumale::EvaluationMeasure)
MinMaxScaler (Rumale::Preprocessing)
ModelSelection (Rumale)
Multiclass (Rumale)
MultinomialNB (Rumale::NaiveBayes)
MutualInformation (Rumale::EvaluationMeasure)

N

NMF (Rumale::Decomposition)
Nadam (Rumale::Optimizer)
NaiveBayes (Rumale)
NearestNeighbors (Rumale)
Node (Rumale::Tree)
NormalizedMutualInformation (Rumale::EvaluationMeasure)

O

OneHotEncoder (Rumale::Preprocessing)
OneVsRestClassifier (Rumale::Multiclass)
Optimizer (Rumale)

P

PCA (Rumale::Decomposition)
PairwiseMetric (Rumale)
Pipeline (Rumale)
Pipeline (Rumale::Pipeline)
PolynomialModel (Rumale)
Precision (Rumale::EvaluationMeasure)
Preprocessing (Rumale)
ProbabilisticOutput (Rumale)
Purity (Rumale::EvaluationMeasure)

R

R2Score (Rumale::EvaluationMeasure)
RBF (Rumale::KernelApproximation)
RMSProp (Rumale::Optimizer)
ROCAUC (Rumale::EvaluationMeasure)
RandomForestClassifier (Rumale::Ensemble)
RandomForestRegressor (Rumale::Ensemble)
Recall (Rumale::EvaluationMeasure)
Regressor (Rumale::Base)
Ridge (Rumale::LinearModel)
Rumale

S

SGD (Rumale::Optimizer)
SVC (Rumale::LinearModel)
SVR (Rumale::LinearModel)
ShuffleSplit (Rumale::ModelSelection)
Splitter (Rumale::Base)
StandardScaler (Rumale::Preprocessing)
StratifiedKFold (Rumale::ModelSelection)
StratifiedShuffleSplit (Rumale::ModelSelection)

T

TSNE (Rumale::Manifold)
Transformer (Rumale::Base)
Tree (Rumale)

Y

YellowFin (Rumale::Optimizer)