bob.learn.boosting
2.0.12
Boosting Strong Classifiers
Example: Handwritten Digit Classification
Python API
bob.learn.boosting
Docs
»
Index
Index
A
|
B
|
C
|
E
|
F
|
G
|
I
|
J
|
L
|
N
|
O
|
P
|
S
|
T
|
W
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.LossFunction 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.LossFunction method)
(bob.learn.boosting.TangentialLoss method)
loss_gradient_sum() (bob.learn.boosting.LossFunction method)
loss_sum() (bob.learn.boosting.LossFunction method)
LossFunction (class in bob.learn.boosting)
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)