Index

A | B | C | D | E | F | G | H | I | K | L | M | N | P | Q | R | S | W

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A

acc() (in module mlpy) allcombinations() (in module mlpy)

angularfreq() (in module mlpy)

B

borda() (in module mlpy)

C

canberra() (in module mlpy) canberraq() (in module mlpy) compute(), [1] (mlpy.Dlda method) (mlpy.Fda method) (mlpy.HCluster method) (mlpy.Knn method) (mlpy.Pda method) (mlpy.Ranking method) (mlpy.Srda method) (mlpy.Svm method)

compute_s0() (in module mlpy) cut() (mlpy.HCluster method) cwt() (in module mlpy)

D

data_fromfile() (in module mlpy) data_fromfile_wl() (in module mlpy) data_normalize() (in module mlpy) data_standardize() (in module mlpy) data_tofile() (in module mlpy)

data_tofile_wl() (in module mlpy) Dlda (class in mlpy) Dwt (class in mlpy) dwt() (in module mlpy)

E

err() (in module mlpy) errn() (in module mlpy)

errp() (in module mlpy)

F

fact() (in module mlpy) Fda (class in mlpy)

G

gamma() (in module mlpy)

H

HCluster (class in mlpy)

I

icwt() (in module mlpy) idwt() (in module mlpy)

Irelief (class in mlpy)

K

kfold() (in module mlpy) kfoldS() (in module mlpy)

Knn (class in mlpy)

L

leaveoneout() (in module mlpy)

M

manresampling() (in module mlpy) mcc() (in module mlpy) mlpy (module)

montecarlo() (in module mlpy) montecarloS() (in module mlpy)

N

normalizer() (in module mlpy) npv() (in module mlpy)

P

Pda (class in mlpy) percentile_ci_median() (in module mlpy) ppv() (in module mlpy) predict(), [1] (mlpy.Dlda method) (mlpy.Fda method) (mlpy.Knn method) (mlpy.Pda method) (mlpy.Srda method) (mlpy.Svm method)

Q

quantile() (in module mlpy)

R

Ranking (class in mlpy) resamplingfile() (in module mlpy)

S

scales() (in module mlpy) sens() (in module mlpy) SigmaError single_auc() (in module mlpy)

spec() (in module mlpy) Srda (class in mlpy) Svm (class in mlpy)

W

weights() ( method) (mlpy.Dlda method) (mlpy.Dwt method) (mlpy.Fda method) (mlpy.Irelief method) (mlpy.Pda method) (mlpy.Srda method) (mlpy.Svm method)

wmw_auc() (in module mlpy)