Index

A

accuracy() (in module metric) AdaBoostNCNELM (class in ensemble) AdaBoostNELM (class in ensemble)

algorithm (module) alpha (ensemble.AdaBoostNELM attribute) (ensemble.BRNELM attribute) (ensemble.BaggingNELM attribute)

B

BaggingNELM (class in ensemble)

BRNELM (class in ensemble)

D

D (ensemble.AdaBoostNELM attribute) (ensemble.BaggingNELM attribute)

diversity() (in module metric)

E

ensemble (module)

F

fit() (algorithm.KELM method) (algorithm.NELM method) (ensemble.AdaBoostNCNELM method) (ensemble.AdaBoostNELM method) (ensemble.BRNELM method) (ensemble.BaggingNELM method)

fit_step() (ensemble.AdaBoostNCNELM method) (ensemble.BRNELM method)

G

get_indicator() (algorithm.KELM method) (algorithm.NELM method) (ensemble.AdaBoostNCNELM method) (ensemble.AdaBoostNELM method) (ensemble.BaggingNELM method)

H

H (algorithm.NELM attribute)

J

Jdecoding() (in module target_encode)

Jencoding() (in module target_encode) Jrenorm() (in module target_encode)

K

k (ensemble.BaggingNELM attribute)

KELM (class in algorithm)

L

loss() (in module metric)

M

metric (module)

N

NELM (class in algorithm)

P

predict() (ensemble.BRNELM method)

R

rmse() (in module metric)

T

target_encode (module) trainPatterns (algorithm.KELM attribute) (algorithm.NELM attribute)

trainTargDecoded (ensemble.AdaBoostNELM attribute) (ensemble.BaggingNELM attribute)

Y

y_mu (ensemble.BRNELM attribute)