Class Index

A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | R | S | T | V

A

AdaBoostClassifier (mltk::ensemble)

AdditiveSymmetric (mltk::metrics::dist)

AOS (mltk::featselect)

AutoWeightedVoting (mltk::ensemble)

Average (mltk::metrics::dist)

AverageL1Linf (mltk::metrics::dist)

AvgManhattan (mltk::metrics::dist)

B

BaggingClassifier (mltk::ensemble)

BalancedPerceptron (mltk::classifier)

BaseMatrix (mltk::metrics::dist)

Bhattacharyya (mltk::metrics::dist)

BlobsPair (mltk::datasets)

BorderlineSMOTEOne (mltk)

C

Canberra (mltk::metrics::dist)

Chebyshev (mltk::metrics::dist)

Chord (mltk::metrics::dist)

Clark (mltk::metrics::dist)

Classifier (mltk::classifier)

Clusterer (mltk::clusterer)

Cosine (mltk::metrics::dist)

CrossValidation (mltk::validation)

D

Data (mltk)

Dice (mltk::metrics::dist)

DistanceMatrix (mltk::metrics::dist)

DistanceMetric (mltk::metrics::dist)

Divergence (mltk::metrics::dist)

DSM (mltk)

DualClassifier (mltk::classifier)

DualRegressor (mltk::regressor)

E

Ensemble (mltk::ensemble)

Euclidean (mltk::metrics::dist)

F

FeatureSelection (mltk::featselect)

Fisher (mltk::featselect)

G

Gnuplot

GnuplotException

Golub (mltk::featselect)

H

AOS::Hash (mltk::featselect)

Hassanat (mltk::metrics::dist)

AOS::Heap (mltk::featselect)

Hellinger (mltk::metrics::dist)

I

IMADual (mltk::classifier)

IMAp (mltk::classifier)

IMApFixedMargin (mltk::classifier)

int_dll (mltk::classifier)

J

Jaccard (mltk::metrics::dist)

Jeffreys (mltk::metrics::dist)

JensenDifference (mltk::metrics::dist)

JensenShannon (mltk::metrics::dist)

K

KDivergence (mltk::metrics::dist)

Kernel (mltk)

KMeans (mltk::clusterer)

KNNClassifier (mltk::classifier)

KNNRegressor (mltk::regressor)

KullbackLeibler (mltk::metrics::dist)

KumarJohnson (mltk::metrics::dist)

L

Learner (mltk)

LMSPrimal (mltk::regressor)

Lorentzian (mltk::metrics::dist)

M

Manhattan (mltk::metrics::dist)

Matusita (mltk::metrics::dist)

MaxSymmetric (mltk::metrics::dist)

MinSymmetric (mltk::metrics::dist)

N

Neyman (mltk::metrics::dist)

NonIntersection (mltk::metrics::dist)

O

OneVsAll (mltk::classifier)

OneVsOne (mltk::classifier)

OverSampling (mltk)

P

Pearson (mltk::metrics::dist)

PerceptronCommittee (mltk::ensemble)

PerceptronDual (mltk::classifier)

PerceptronFixedMarginDual (mltk::classifier)

PerceptronFixedMarginPrimal (mltk::classifier)

PerceptronPrimal (mltk::classifier)

Point (mltk)

PrimalClassifier (mltk::classifier)

PrimalRegressor (mltk::regressor)

ProbabilisticSymmetric (mltk::metrics::dist)

R

RegPair (mltk::datasets)

Regressor (mltk::regressor)

RFE (mltk::featselect)

RSM (mltk)

S

AOS::select_gamma (mltk::featselect)

AOS::select_weight (mltk::featselect)

SMO (mltk::classifier)

SMOTE (mltk)

Solution (mltk)

Sorensen (mltk::metrics::dist)

Squared (mltk::metrics::dist)

SquaredChiSquared (mltk::metrics::dist)

SquaredChord (mltk::metrics::dist)

SquaredEuclidean (mltk::metrics::dist)

Statistics (mltk)

synced_stream (mltk)

T

Taneja (mltk::metrics::dist)

ThreadPool (mltk)

Timer (mltk)

timer (mltk)

Topsoe (mltk::metrics::dist)

TrainTestPair (mltk::validation)

V

ValidationReport (mltk::validation)

Visualization (mltk::visualize)

VotingClassifier (mltk::ensemble)