Index

A

add_weak_machine() (bob.learn.boosting.BoostedMachine method)

alpha (bob.learn.boosting.BoostedMachine attribute)

B

bob.learn.boosting (module) BoostedMachine (class in bob.learn.boosting)

Boosting (class in bob.learn.boosting)

C

compute_threshold() (bob.learn.boosting.StumpTrainer method)

E

ExponentialLoss (class in bob.learn.boosting)

F

feature_indices() (bob.learn.boosting.BoostedMachine method) (bob.learn.boosting.LUTMachine method) (bob.learn.boosting.StumpMachine method)

forward() (bob.learn.boosting.BoostedMachine method) (bob.learn.boosting.LUTMachine method) (bob.learn.boosting.StumpMachine method)

G

get_config() (in module bob.learn.boosting)

get_loss_function() (bob.learn.boosting.Boosting method)

I

indices (bob.learn.boosting.BoostedMachine attribute)

J

JesorskyLoss (class in bob.learn.boosting)

L

load() (bob.learn.boosting.BoostedMachine method) (bob.learn.boosting.LUTMachine method) (bob.learn.boosting.StumpMachine method) LogitLoss (class in bob.learn.boosting) loss() (bob.learn.boosting.ExponentialLoss method) (bob.learn.boosting.JesorskyLoss method) (bob.learn.boosting.LogitLoss method) (bob.learn.boosting.TangentialLoss method) loss_gradient() (bob.learn.boosting.ExponentialLoss method) (bob.learn.boosting.JesorskyLoss method) (bob.learn.boosting.LogitLoss method) (bob.learn.boosting.TangentialLoss method) loss_gradient_sum() (bob.learn.boosting.ExponentialLoss method) (bob.learn.boosting.JesorskyLoss method) (bob.learn.boosting.LogitLoss method) (bob.learn.boosting.TangentialLoss method)

loss_sum() (bob.learn.boosting.ExponentialLoss method) (bob.learn.boosting.JesorskyLoss method) (bob.learn.boosting.LogitLoss method) (bob.learn.boosting.TangentialLoss method) lut (bob.learn.boosting.LUTMachine attribute) LUTMachine (class in bob.learn.boosting) LUTTrainer (class in bob.learn.boosting)

N

number_of_labels (bob.learn.boosting.LUTTrainer attribute)

number_of_outputs (bob.learn.boosting.LUTTrainer attribute)

O

outputs (bob.learn.boosting.BoostedMachine attribute)

P

polarity (bob.learn.boosting.StumpMachine attribute)

S

save() (bob.learn.boosting.BoostedMachine method) (bob.learn.boosting.LUTMachine method) (bob.learn.boosting.StumpMachine method) selection_type (bob.learn.boosting.LUTTrainer attribute)

StumpMachine (class in bob.learn.boosting) StumpTrainer (class in bob.learn.boosting)

T

TangentialLoss (class in bob.learn.boosting) threshold (bob.learn.boosting.StumpMachine attribute)

train() (bob.learn.boosting.Boosting method) (bob.learn.boosting.LUTTrainer method) (bob.learn.boosting.StumpTrainer method)

W

weak_machines (bob.learn.boosting.BoostedMachine attribute) WeakMachine (class in bob.learn.boosting)

weighted_histogram() (in module bob.learn.boosting) weights (bob.learn.boosting.BoostedMachine attribute)