Index

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

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Symbols

0-1 loss function

A

AdaBoost (class in ailib.fitting) addBasis() (ailib.fitting.BasisRegression method) addModel() (ailib.fitting.AdaBoost method) (ailib.fitting.Committee method) ailib (module) ailib.fitting (module), [1], [2], [3], [4], [5], [6], [7]

ailib.sampling (module) ailib.selection (module) argmax() (in module ailib) argmin() (in module ailib)

B

Bagging (class in ailib.fitting) BasisRegression (class in ailib.fitting) binning() (in module ailib) binRange() (in module ailib)

Bootstrapped Bootstrapping

C

Classification ClassificationTree (class in ailib.fitting) cleanData() (ailib.fitting.Tree method) cMean() (in module ailib) collude() (ailib.fitting.Tree method) Committee (class in ailib.fitting) Committee.Classification (class in ailib.fitting) Committee.Regression (class in ailib.fitting) Committee.Sampling (class in ailib.fitting) costSplit() (ailib.fitting.ClassificationTree method) (ailib.fitting.RegressionTree method) (ailib.fitting.Tree method)

costTerminal() (ailib.fitting.ClassificationTree method) (ailib.fitting.RegressionTree method) (ailib.fitting.Tree method) costTree() (ailib.fitting.ClassificationTree method) (ailib.fitting.RegressionTree method) (ailib.fitting.Tree method) crossValidation() (in module ailib.selection)

D

Data point data() (ailib.fitting.Tree method)

depth() (ailib.fitting.Tree method)

E

err() (ailib.fitting.AdaBoost method) (ailib.fitting.ClassificationTree method) (ailib.fitting.Committee.Classification method) (ailib.fitting.Committee.Regression method) (ailib.fitting.Committee.Sampling method) (ailib.fitting.LinearModel method) (ailib.fitting.Model method) (ailib.fitting.NLSQ method) (ailib.fitting.RegressionTree method) (ailib.fitting.Stump method) (ailib.fitting.kNN method) eval() (ailib.fitting.AdaBoost method) (ailib.fitting.BasisRegression method) (ailib.fitting.Committee.Classification method) (ailib.fitting.Committee.Regression method) (ailib.fitting.Committee.Sampling method) (ailib.fitting.Kmeans.Soft method) (ailib.fitting.LinearModel method) (ailib.fitting.Model method) (ailib.fitting.NLSQ method) (ailib.fitting.Stump method) (ailib.fitting.Tree method) (ailib.fitting.kNN method) (ailib.fitting.kNN.Sampling method) (ailib.fitting.kNN.WeightedSampling method)

Expectation-Maximization

F

Feature fit() (ailib.fitting.AdaBoost method) (ailib.fitting.Bagging method) (ailib.fitting.BasisRegression method) (ailib.fitting.ClassificationTree method) (ailib.fitting.GaussNewton method) (ailib.fitting.HybridSDN method) (ailib.fitting.Kmeans method) (ailib.fitting.LinearModel method) (ailib.fitting.Marquardt method) (ailib.fitting.Model method) (ailib.fitting.NLSQ method) (ailib.fitting.Newton method) (ailib.fitting.RegressionTree method) (ailib.fitting.SteepestDescent method) (ailib.fitting.Stump method) (ailib.fitting.kNN method) (ailib.selection.Ransac method)

G

GaussNewton (class in ailib.fitting) Generalization error genMean() (in module ailib) gMean() (in module ailib)

grad() (ailib.fitting.NLSQ method) Gradient grow() (ailib.fitting.Tree method)

H

Hessian matrix hessian() (ailib.fitting.NLSQ method) histogram() (in module ailib)

hMean() (in module ailib) HybridSDN (class in ailib.fitting)

I

i.i.d isLeaf() (ailib.fitting.Tree method)

isList() (in module ailib)

J

Jacobian matrix jacobian() (ailib.fitting.NLSQ method)

K

KLD() (in module ailib) Kmeans (class in ailib.fitting) Kmeans.Soft (class in ailib.fitting) kNN (class in ailib.fitting)

kNN.Sampling (class in ailib.fitting) kNN.WeightedSampling (class in ailib.fitting)

L

Label leaves() (ailib.fitting.Tree method) LinearModel (class in ailib.fitting)

listFunc() (in module ailib) LTW() (in module ailib)

M

majorityVote() (in module ailib) Marquardt (class in ailib.fitting) Maximum likelihood mean() (in module ailib) median() (in module ailib) metropolisHastingsSampler() (in module ailib.sampling)

metropolisSampler() (in module ailib.sampling) midrange() (in module ailib) Model (class in ailib.fitting)

N

Newton (class in ailib.fitting) NLSQ (class in ailib.fitting) normalize() (in module ailib)

numCoeff() (ailib.fitting.LinearModel method) numOutput() (ailib.fitting.LinearModel method)

O

Overfitting

P

PolynomialRegression (class in ailib.fitting) prod() (in module ailib)

prune() (ailib.fitting.Tree method)

Q

qMean() (in module ailib)

R

Ransac (class in ailib.selection) Regression RegressionTree (class in ailib.fitting) rejectionSampler() (in module ailib.sampling) rejectionSamplerN() (in module ailib.sampling)

rms() (in module ailib) rouletteWheel() (in module ailib.sampling) rouletteWheelN() (in module ailib.sampling) rss() (in module ailib)

S

sign() (in module ailib) span() (in module ailib) STD

SteepestDescent (class in ailib.fitting) Stump (class in ailib.fitting)

T

Testing error Testing set Training error

Training set Tree (class in ailib.fitting)

U

UTD

V

var() (in module ailib)