Index

A | B | C | D | F | G | I | M | N | O | R | S | T | U

A

AdaDelta (class in orangecontrib.recommendation.optimizers)
AdaGrad (class in orangecontrib.recommendation.optimizers)
Adam (class in orangecontrib.recommendation.optimizers)
Adamax (class in orangecontrib.recommendation.optimizers)

B

BRISMFLearner (class in orangecontrib.recommendation)

C

CLiMFLearner (class in orangecontrib.recommendation)

D

data, [1]
input

F

fit_storage() (orangecontrib.recommendation.BRISMFLearner method)
(orangecontrib.recommendation.CLiMFLearner method)
(orangecontrib.recommendation.GlobalAvgLearner method)
(orangecontrib.recommendation.ItemAvgLearner method)
(orangecontrib.recommendation.SVDPlusPlusLearner method)
(orangecontrib.recommendation.TrustSVDLearner method)
(orangecontrib.recommendation.UserAvgLearner method)
(orangecontrib.recommendation.UserItemBaselineLearner method)

G

GlobalAvgLearner (class in orangecontrib.recommendation)

I

ItemAvgLearner (class in orangecontrib.recommendation)

M

Momentum (class in orangecontrib.recommendation.optimizers)

N

NesterovMomentum (class in orangecontrib.recommendation.optimizers)

O

orangecontrib.recommendation (module), [1], [2]
orangecontrib.recommendation.optimizers (module)

R

RMSProp (class in orangecontrib.recommendation.optimizers)

S

SGD (class in orangecontrib.recommendation.optimizers)
SVDPlusPlusLearner (class in orangecontrib.recommendation)

T

TrustSVDLearner (class in orangecontrib.recommendation)

U

update() (orangecontrib.recommendation.optimizers.AdaDelta method)
(orangecontrib.recommendation.optimizers.AdaGrad method)
(orangecontrib.recommendation.optimizers.Adam method)
(orangecontrib.recommendation.optimizers.Adamax method)
(orangecontrib.recommendation.optimizers.Momentum method)
(orangecontrib.recommendation.optimizers.NesterovMomentum method)
(orangecontrib.recommendation.optimizers.RMSProp method)
(orangecontrib.recommendation.optimizers.SGD method)
UserAvgLearner (class in orangecontrib.recommendation)
UserItemBaselineLearner (class in orangecontrib.recommendation)