master
Overview
modAL in a nutshell
Installation
Extending modAL
Contributing
Models
ActiveLearner
BayesianOptimizer
Committee
CommitteeRegressor
Query strategies
Acquisition functions
Uncertainty sampling
Disagreement sampling
Ranked batch-mode sampling
Information density
Examples
Interactive labeling with Jupyter
Pool-based sampling
Ranked batch-mode sampling
Stream-based sampling
Active regression
Ensemble regression
Bayesian optimization
Query by committee
Bootstrapping and bagging
Keras models in modAL workflows
Pytorch models in modAL workflows
API reference
modAL.models
modAL.uncertainty
modAL.disagreement
modAL.multilabel
modAL.expected_error
modAL.acquisition
modAL.batch
modAL.density
modAL.utils
modAL
Docs
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Index
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Index
A
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B
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C
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D
|
E
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F
|
I
|
K
|
M
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N
|
O
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P
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Q
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R
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S
|
T
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U
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V
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W
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X
|
Y
A
ActiveLearner (class in modAL.models)
avg_confidence() (in module modAL.multilabel)
avg_score() (in module modAL.multilabel)
B
BayesianOptimizer (class in modAL.models)
C
check_class_labels() (in module modAL.utils)
check_class_proba() (in module modAL.utils)
classes_ (modAL.models.Committee attribute)
classifier_entropy() (in module modAL.uncertainty)
classifier_margin() (in module modAL.uncertainty)
classifier_uncertainty() (in module modAL.uncertainty)
Committee (class in modAL.models)
CommitteeRegressor (class in modAL.models)
consensus_entropy() (in module modAL.disagreement)
consensus_entropy_sampling() (in module modAL.disagreement)
D
data_vstack() (in module modAL.utils)
E
entropy_sampling() (in module modAL.uncertainty)
estimator (modAL.models.ActiveLearner attribute)
(modAL.models.BayesianOptimizer attribute)
expected_error_reduction() (in module modAL.expected_error)
F
fit() (modAL.models.ActiveLearner method)
(modAL.models.BayesianOptimizer method)
(modAL.models.Committee method)
(modAL.models.CommitteeRegressor method)
I
information_density() (in module modAL.density)
K
KL_max_disagreement() (in module modAL.disagreement)
M
make_linear_combination() (in module modAL.utils)
make_product() (in module modAL.utils)
make_query_strategy() (in module modAL.utils)
margin_sampling() (in module modAL.uncertainty)
max_disagreement_sampling() (in module modAL.disagreement)
max_EI() (in module modAL.acquisition)
max_loss() (in module modAL.multilabel)
max_PI() (in module modAL.acquisition)
max_score() (in module modAL.multilabel)
max_std_sampling() (in module modAL.disagreement)
max_UCB() (in module modAL.acquisition)
mean_max_loss() (in module modAL.multilabel)
min_confidence() (in module modAL.multilabel)
modAL.acquisition (module)
modAL.batch (module)
modAL.density (module)
modAL.disagreement (module)
modAL.expected_error (module)
modAL.multilabel (module)
modAL.uncertainty (module)
modAL.utils (module)
multi_argmax() (in module modAL.utils)
N
n_classes_ (modAL.models.Committee attribute)
O
optimizer_EI() (in module modAL.acquisition)
optimizer_PI() (in module modAL.acquisition)
optimizer_UCB() (in module modAL.acquisition)
P
predict() (modAL.models.ActiveLearner method)
(modAL.models.BayesianOptimizer method)
(modAL.models.Committee method)
(modAL.models.CommitteeRegressor method)
predict_proba() (modAL.models.ActiveLearner method)
(modAL.models.BayesianOptimizer method)
(modAL.models.Committee method)
Q
query() (modAL.models.ActiveLearner method)
(modAL.models.BayesianOptimizer method)
(modAL.models.Committee method)
(modAL.models.CommitteeRegressor method)
query_strategy (modAL.models.ActiveLearner attribute)
(modAL.models.BayesianOptimizer attribute)
R
ranked_batch() (in module modAL.batch)
rebag() (modAL.models.Committee method)
(modAL.models.CommitteeRegressor method)
S
score() (modAL.models.ActiveLearner method)
(modAL.models.BayesianOptimizer method)
(modAL.models.Committee method)
select_cold_start_instance() (in module modAL.batch)
select_instance() (in module modAL.batch)
similarize_distance() (in module modAL.density)
SVM_binary_minimum() (in module modAL.multilabel)
T
teach() (modAL.models.ActiveLearner method)
(modAL.models.BayesianOptimizer method)
(modAL.models.Committee method)
(modAL.models.CommitteeRegressor method)
U
uncertainty_batch_sampling() (in module modAL.batch)
uncertainty_sampling() (in module modAL.uncertainty)
V
vote() (modAL.models.Committee method)
(modAL.models.CommitteeRegressor method)
vote_entropy() (in module modAL.disagreement)
vote_entropy_sampling() (in module modAL.disagreement)
vote_proba() (modAL.models.Committee method)
W
weighted_random() (in module modAL.utils)
X
X_max (modAL.models.BayesianOptimizer attribute)
X_training (modAL.models.ActiveLearner attribute)
(modAL.models.BayesianOptimizer attribute)
Y
y_max (modAL.models.BayesianOptimizer attribute)
y_training (modAL.models.ActiveLearner attribute)
(modAL.models.BayesianOptimizer attribute)
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