Libraries
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svmkit
(0.2.7)
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Documentation for svmkit (0.2.7)
Alphabetic Index
File Listing
README
Namespace Listing A-Z
A
Accuracy
(SVMKit::EvaluationMeasure)
B
Base
(SVMKit)
BaseEstimator
(SVMKit::Base)
BaseNaiveBayes
(SVMKit::NaiveBayes)
BernoulliNB
(SVMKit::NaiveBayes)
C
Classifier
(SVMKit::Base)
CrossValidation
(SVMKit::ModelSelection)
D
Dataset
(SVMKit)
DecisionTreeClassifier
(SVMKit::Tree)
E
Ensemble
(SVMKit)
EvaluationMeasure
(SVMKit)
Evaluator
(SVMKit::Base)
F
FScore
(SVMKit::EvaluationMeasure)
FactorizationMachineClassifier
(SVMKit::PolynomialModel)
G
GaussianNB
(SVMKit::NaiveBayes)
K
KFold
(SVMKit::ModelSelection)
KNeighborsClassifier
(SVMKit::NearestNeighbors)
KernelApproximation
(SVMKit)
KernelMachine
(SVMKit)
KernelSVC
(SVMKit::KernelMachine)
L
L2Normalizer
(SVMKit::Preprocessing)
LinearModel
(SVMKit)
LogisticRegression
(SVMKit::LinearModel)
M
MinMaxScaler
(SVMKit::Preprocessing)
ModelSelection
(SVMKit)
Multiclass
(SVMKit)
MultinomialNB
(SVMKit::NaiveBayes)
N
NaiveBayes
(SVMKit)
NearestNeighbors
(SVMKit)
O
OneVsRestClassifier
(SVMKit::Multiclass)
P
PairwiseMetric
(SVMKit)
PolynomialModel
(SVMKit)
Precision
(SVMKit::EvaluationMeasure)
Preprocessing
(SVMKit)
R
RBF
(SVMKit::KernelApproximation)
RandomForestClassifier
(SVMKit::Ensemble)
Recall
(SVMKit::EvaluationMeasure)
S
SVC
(SVMKit::LinearModel)
SVMKit
Splitter
(SVMKit::Base)
StandardScaler
(SVMKit::Preprocessing)
StratifiedKFold
(SVMKit::ModelSelection)
T
Transformer
(SVMKit::Base)
Tree
(SVMKit)