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alr
Active learning toolbox
Acquisition functions
alr.data
alr.data.datasets
alr.training.utils
Supported dropout modules
alr.modules.dropout
alr
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Index
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A
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B
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C
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D
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E
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F
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G
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I
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L
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M
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N
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O
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P
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R
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S
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T
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U
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V
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W
_
__call__() (alr.acquisition.AcquisitionFunction method)
(alr.acquisition.BALD method)
(alr.acquisition.BatchBALD method)
(alr.acquisition.ICAL method)
(alr.acquisition.RandomAcquisition method)
(alr.training.plmixup_ensemble.Ensemble method)
A
about (alr.data.datasets.Dataset attribute)
acquire() (alr.data.DataManager method)
AcquisitionFunction (class in alr.acquisition)
alr (module)
alr.acquisition (module)
alr.data (module)
alr.data._cinic_indices (module)
alr.data.datasets (module)
alr.modules.dropout (module)
alr.training (module)
alr.training.ephemeral_trainer (module)
alr.training.pl_mixup (module)
alr.training.pl_mixup_cyclic (module)
alr.training.plmixup_ensemble (module)
alr.training.progress_bar.details (module)
alr.training.progress_bar.ignite_progress_bar (module)
alr.training.progress_bar.progress_bar (module)
alr.training.pseudo_label_trainer (module)
alr.training.samplers (module)
alr.training.supervised_trainer (module)
alr.training.utils (module)
ALRModel (class in alr)
Annealer (class in alr.training.pseudo_label_trainer)
append_to_labelled() (alr.data.DataManager method)
attach() (alr.training.ephemeral_trainer.PseudoLabelCollector method)
(alr.training.ephemeral_trainer.PseudoLabelManager method)
(alr.training.pl_mixup.PLUpdater method)
(alr.training.progress_bar.ignite_progress_bar.ProgressBar method)
(alr.training.pseudo_label_trainer.Annealer method)
(alr.training.utils.EarlyStopper method)
(alr.training.utils.PLPredictionSaver method)
B
BALD (class in alr.acquisition)
base_model (alr.MCDropout attribute)
BatchBALD (class in alr.acquisition)
C
CIFAR10 (alr.data.datasets.Dataset attribute)
CIFAR100 (alr.data.datasets.Dataset attribute)
CIFAR10Net (class in alr.data.datasets)
CINIC10 (alr.data.datasets.Dataset attribute)
ConsistentDropout (class in alr.modules.dropout)
ConsistentDropout2d (class in alr.modules.dropout)
convert_idx() (alr.data.UnlabelledDataset method)
create_plmixup_trainer() (in module alr.training.pl_mixup)
create_pseudo_label_trainer() (in module alr.training.ephemeral_trainer)
create_semisupervised_trainer() (in module alr.training.pseudo_label_trainer)
create_warmup_trainer() (in module alr.training.pl_mixup)
cyclic_annealer() (in module alr.training.pl_mixup_cyclic)
CyclicPLMixupTrainer (class in alr.training.pl_mixup_cyclic)
D
DataDescription (class in alr.data.datasets)
DataManager (class in alr.data)
Dataset (class in alr.data.datasets)
disable_augmentation() (in module alr.data)
done (alr.training.utils.PerformanceTracker attribute)
E
EarlyStopper (class in alr.training.utils)
EMNISTBalanced (alr.data.datasets.Dataset attribute)
EMNISTMerge (alr.data.datasets.Dataset attribute)
Ensemble (class in alr.training.plmixup_ensemble)
EphemeralTrainer (class in alr.training.ephemeral_trainer)
EpochExtender (class in alr.training.samplers)
eval() (alr.modules.dropout.ConsistentDropout method)
(alr.modules.dropout.ConsistentDropout2d method)
(alr.training.plmixup_ensemble.Ensemble method)
evaluate() (alr.training.ephemeral_trainer.EphemeralTrainer method)
(alr.training.pl_mixup.PLMixupTrainer method)
(alr.training.plmixup_ensemble.Ensemble method)
(alr.training.plmixup_ensemble.PLMixupEnsembleTrainer method)
(alr.training.pseudo_label_trainer.VanillaPLTrainer method)
(alr.training.supervised_trainer.Trainer method)
F
FashionMNIST (alr.data.datasets.Dataset attribute)
finish() (alr.training.progress_bar.details.LogFriendlyProgressBar method)
(alr.training.progress_bar.details.TQDMProgressBar method)
(alr.training.progress_bar.progress_bar.ProgressBar method)
fit() (alr.training.ephemeral_trainer.EphemeralTrainer method)
(alr.training.pl_mixup.PLMixupTrainer method)
(alr.training.pl_mixup_cyclic.CyclicPLMixupTrainer method)
(alr.training.plmixup_ensemble.PLMixupEnsembleTrainer method)
(alr.training.pseudo_label_trainer.VanillaPLTrainer method)
(alr.training.supervised_trainer.Trainer method)
forward() (alr.ALRModel method)
(alr.MCDropout method)
(alr.data.datasets.CIFAR10Net method)
(alr.data.datasets.MNISTNet method)
(alr.modules.dropout.ConsistentDropout method)
(alr.modules.dropout.ConsistentDropout2d method)
(alr.modules.dropout.PersistentAlphaDropout method)
(alr.modules.dropout.PersistentDropout method)
(alr.modules.dropout.PersistentDropout2d method)
(alr.modules.dropout.PersistentDropout3d method)
(alr.modules.dropout.PersistentFeatureAlphaDropout method)
(alr.training.plmixup_ensemble.Ensemble method)
G
get() (alr.data.datasets.Dataset method)
get_augmentation (alr.data.datasets.Dataset attribute)
get_fixed() (alr.data.datasets.Dataset method)
get_preds() (alr.training.plmixup_ensemble.Ensemble method)
get_time() (alr.training.progress_bar.details.LogFriendlyProgressBar static method)
global_step_from_engine() (alr.training.ephemeral_trainer.PseudoLabelCollector method)
(alr.training.utils.PLPredictionSaver method)
I
ICAL (class in alr.acquisition)
L
label() (alr.data.UnlabelledDataset method)
labelled (alr.data.DataManager attribute)
labelled_classes (alr.data.UnlabelledDataset attribute)
labelled_indices (alr.data.UnlabelledDataset attribute)
last_flush (alr.training.progress_bar.details.LogFriendlyProgressBar attribute)
log_message() (alr.training.progress_bar.details.LogFriendlyProgressBar method)
(alr.training.progress_bar.details.TQDMProgressBar method)
(alr.training.progress_bar.ignite_progress_bar.ProgressBar method)
(alr.training.progress_bar.progress_bar.ProgressBar method)
LogFriendlyProgressBar (class in alr.training.progress_bar.details)
M
MCDropout (class in alr)
MinLabelledSampler (class in alr.training.samplers)
mixup() (in module alr.training.pl_mixup)
MNIST (alr.data.datasets.Dataset attribute)
MNISTNet (class in alr.data.datasets)
model (alr.data.datasets.Dataset attribute)
N
n_forward (alr.MCDropout attribute)
n_labelled (alr.data.DataManager attribute)
n_unlabelled (alr.data.DataManager attribute)
normalisation_params (alr.data.datasets.Dataset attribute)
num_sections (alr.training.progress_bar.details.LogFriendlyProgressBar attribute)
O
on_complete() (alr.training.progress_bar.ignite_progress_bar.ProgressBar method)
on_iteration_complete() (alr.training.progress_bar.ignite_progress_bar.ProgressBar method)
on_start() (alr.training.progress_bar.ignite_progress_bar.ProgressBar method)
onehot_transform() (in module alr.training.pl_mixup)
P
PerformanceTracker (class in alr.training.utils)
PersistentAlphaDropout (class in alr.modules.dropout)
PersistentDropout (class in alr.modules.dropout)
PersistentDropout2d (class in alr.modules.dropout)
PersistentDropout3d (class in alr.modules.dropout)
PersistentFeatureAlphaDropout (class in alr.modules.dropout)
plmixup_train() (in module alr.training.plmixup_ensemble)
PLMixupEnsembleTrainer (class in alr.training.plmixup_ensemble)
PLMixupTrainer (class in alr.training.pl_mixup)
PLPredictionSaver (class in alr.training.utils)
PLUpdater (class in alr.training.pl_mixup)
predict() (alr.ALRModel method)
print() (alr.training.progress_bar.details.LogFriendlyProgressBar static method)
print_finish() (alr.training.progress_bar.details.LogFriendlyProgressBar static method)
print_header() (alr.training.progress_bar.details.LogFriendlyProgressBar static method)
print_section() (alr.training.progress_bar.details.LogFriendlyProgressBar static method)
ProgressBar (class in alr.training.progress_bar.ignite_progress_bar)
(class in alr.training.progress_bar.progress_bar)
PseudoLabelCollector (class in alr.training.ephemeral_trainer)
PseudoLabelDataset (class in alr.data)
PseudoLabelManager (class in alr.training.ephemeral_trainer)
R
RandomAcquisition (class in alr.acquisition)
RandomFixedLengthSampler (class in alr.training.samplers)
rational_quadratic() (alr.acquisition.ICAL static method)
reg_mixup_loss() (in module alr.training.pl_mixup)
reg_nll_loss() (in module alr.training.pl_mixup)
RelabelDataset (class in alr.data)
reload_best() (alr.training.utils.EarlyStopper method)
(alr.training.utils.PerformanceTracker method)
reloaded (alr.training.utils.PerformanceTracker attribute)
RepeatedMNIST (alr.data.datasets.Dataset attribute)
replace_consistent_dropout() (in module alr.modules.dropout)
replace_dropout() (in module alr.modules.dropout)
reset() (alr.data.DataManager method)
(alr.data.UnlabelledDataset method)
(alr.modules.dropout.ConsistentDropout method)
(alr.modules.dropout.ConsistentDropout2d method)
(alr.training.utils.PerformanceTracker method)
reset_weights() (alr.ALRModel method)
S
save_weights() (alr.training.plmixup_ensemble.Ensemble method)
snap() (alr.ALRModel method)
soft_cross_entropy() (in module alr.training.pseudo_label_trainer)
soft_nll_loss() (in module alr.training.pseudo_label_trainer)
start() (alr.training.progress_bar.details.LogFriendlyProgressBar method)
(alr.training.progress_bar.details.TQDMProgressBar method)
(alr.training.progress_bar.progress_bar.ProgressBar method)
step() (alr.training.pseudo_label_trainer.Annealer method)
(alr.training.utils.PerformanceTracker method)
stochastic_forward() (alr.MCDropout method)
T
temp_ds_transform() (in module alr.training.pl_mixup)
TQDMProgressBar (class in alr.training.progress_bar.details)
train() (alr.modules.dropout.ConsistentDropout method)
(alr.modules.dropout.ConsistentDropout2d method)
(alr.training.plmixup_ensemble.Ensemble method)
Trainer (class in alr.training.supervised_trainer)
TransformedDataset (class in alr.data)
true_labels() (alr.data.UnlabelledDataset method)
U
unlabelled (alr.data.DataManager attribute)
UnlabelledDataset (class in alr.data)
update() (alr.training.progress_bar.details.LogFriendlyProgressBar method)
(alr.training.progress_bar.details.TQDMProgressBar method)
(alr.training.progress_bar.progress_bar.ProgressBar method)
V
VanillaPLTrainer (class in alr.training.pseudo_label_trainer)
W
weight (alr.training.pseudo_label_trainer.Annealer attribute)
WraparoundLoader (class in alr.training.pseudo_label_trainer)