small-text
v1.0.0b2
Getting Started
Installation
Active Learning
Data Structures
Classification
Components
Initialization
Query Strategies
Stopping Criteria
Integrations
Pytorch Integration
Pytorch Integration Classes
Transformers Integration
Transformers Integration Classes
Common Patterns
Data Management
Serialization
API
ActiveLearner API
Classifier API
Dataset API
Other
Changelog
Bibliography
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Index
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Index
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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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I
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K
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L
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M
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P
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Q
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R
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_
__init__() (small_text.data.datasets.SklearnDataset method)
(small_text.integrations.pytorch.datasets.PytorchTextClassificationDataset method)
(small_text.integrations.pytorch.query_strategies.strategies.BADGE method)
(small_text.integrations.pytorch.query_strategies.strategies.ExpectedGradientLength method)
(small_text.integrations.pytorch.query_strategies.strategies.ExpectedGradientLengthLayer method)
(small_text.integrations.pytorch.query_strategies.strategies.ExpectedGradientLengthMaxWord method)
(small_text.integrations.transformers.datasets.TransformersDataset method)
(small_text.query_strategies.strategies.BreakingTies method)
(small_text.query_strategies.strategies.EmbeddingKMeans method)
(small_text.query_strategies.strategies.LeastConfidence method)
(small_text.query_strategies.strategies.PredictionEntropy method)
(small_text.query_strategies.strategies.RandomSampling method)
(small_text.stopping_criteria.base.DeltaFScore method)
(small_text.stopping_criteria.kappa.KappaAverage method)
B
BADGE (class in small_text.integrations.pytorch.query_strategies.strategies)
BreakingTies (class in small_text.query_strategies.strategies)
C
Classifier (class in small_text.classifiers.classification)
D
data (small_text.integrations.pytorch.datasets.PytorchTextClassificationDataset property)
Dataset (class in small_text.data.datasets)
DeltaFScore (class in small_text.stopping_criteria.base)
E
EmbeddingKMeans (class in small_text.query_strategies.strategies)
ExpectedGradientLength (class in small_text.integrations.pytorch.query_strategies.strategies)
ExpectedGradientLengthLayer (class in small_text.integrations.pytorch.query_strategies.strategies)
ExpectedGradientLengthMaxWord (class in small_text.integrations.pytorch.query_strategies.strategies)
F
FineTuningArguments (class in small_text.integrations.transformers.classifiers.classification)
forward() (small_text.integrations.pytorch.models.kimcnn.KimCNN method)
I
initialize_data() (small_text.active_learner.PoolBasedActiveLearner method)
is_multi_label (small_text.data.datasets.SklearnDataset property)
K
KappaAverage (class in small_text.stopping_criteria.kappa)
KimCNN (class in small_text.integrations.pytorch.models.kimcnn)
L
LeastConfidence (class in small_text.query_strategies.strategies)
load() (small_text.active_learner.PoolBasedActiveLearner class method)
M
module
small_text.integrations.pytorch.query_strategies.strategies
small_text.query_strategies.strategies
small_text.stopping_criteria.base
small_text.stopping_criteria.kappa
P
PoolBasedActiveLearner (class in small_text.active_learner)
PredictionEntropy (class in small_text.query_strategies.strategies)
PytorchTextClassificationDataset (class in small_text.integrations.pytorch.datasets)
Q
queried_indices (small_text.active_learner.PoolBasedActiveLearner attribute)
query() (small_text.active_learner.PoolBasedActiveLearner method)
R
random_initialization() (in module small_text.initialization.strategies)
random_initialization_balanced() (in module small_text.initialization.strategies)
random_initialization_stratified() (in module small_text.initialization.strategies)
RandomSampling (class in small_text.query_strategies.strategies)
remove_label_at() (small_text.active_learner.PoolBasedActiveLearner method)
S
save() (small_text.active_learner.PoolBasedActiveLearner method)
SklearnClassifier (class in small_text.classifiers.classification)
SklearnClassifierFactory (class in small_text.classifiers.factories)
SklearnDataset (class in small_text.data.datasets)
small_text.integrations.pytorch.query_strategies.strategies
module
small_text.query_strategies.strategies
module
small_text.stopping_criteria.base
module
small_text.stopping_criteria.kappa
module
stop() (small_text.stopping_criteria.base.DeltaFScore method)
(small_text.stopping_criteria.kappa.KappaAverage method)
T
target_labels (small_text.data.datasets.Dataset property)
(small_text.data.datasets.SklearnDataset property)
(small_text.integrations.pytorch.datasets.PytorchTextClassificationDataset property)
(small_text.integrations.transformers.datasets.TransformersDataset property)
to() (small_text.integrations.pytorch.datasets.PytorchTextClassificationDataset method)
TransformersDataset (class in small_text.integrations.transformers.datasets)
U
update() (small_text.active_learner.PoolBasedActiveLearner method)
update_label_at() (small_text.active_learner.PoolBasedActiveLearner method)
V
vocab (small_text.integrations.pytorch.datasets.PytorchTextClassificationDataset property)
X
x (small_text.data.datasets.Dataset property)
(small_text.data.datasets.SklearnDataset property)
(small_text.integrations.pytorch.datasets.PytorchTextClassificationDataset property)
(small_text.integrations.transformers.datasets.TransformersDataset property)
x_indices_ignored (small_text.active_learner.PoolBasedActiveLearner attribute)
x_indices_labeled (small_text.active_learner.PoolBasedActiveLearner attribute)
Y
y (small_text.active_learner.PoolBasedActiveLearner attribute)
(small_text.data.datasets.Dataset property)
(small_text.data.datasets.SklearnDataset property)
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