small-text
v1.2.0
Getting Started
Installation
Active Learning
Datasets
Components
Initialization
Query Strategies
Stopping Criteria
Classification
Classifiers
Training
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
Showcase
Reproducibility Notes
Bibliography
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Index
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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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K
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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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Q
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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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X
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Y
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__init__() (small_text.data.datasets.SklearnDataset method)
(small_text.data.datasets.TextDataset 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.classifiers.classification.FineTuningArguments method)
(small_text.integrations.transformers.classifiers.classification.TransformerBasedClassification method)
(small_text.integrations.transformers.classifiers.setfit.SetFitClassification method)
(small_text.integrations.transformers.classifiers.setfit.SetFitModelArguments method)
(small_text.integrations.transformers.datasets.TransformersDataset method)
(small_text.query_strategies.bayesian.BALD method)
(small_text.query_strategies.coresets.GreedyCoreset method)
(small_text.query_strategies.coresets.LightweightCoreset method)
(small_text.query_strategies.multi_label.CategoryVectorInconsistencyAndRanking method)
(small_text.query_strategies.strategies.ContrastiveActiveLearning method)
(small_text.query_strategies.strategies.DiscriminativeActiveLearning method)
(small_text.query_strategies.strategies.EmbeddingKMeans method)
(small_text.query_strategies.strategies.SEALS method)
(small_text.stopping_criteria.base.DeltaFScore method)
(small_text.stopping_criteria.change.ClassificationChange method)
(small_text.stopping_criteria.kappa.KappaAverage method)
(small_text.stopping_criteria.uncertainty.OverallUncertainty method)
(small_text.stopping_criteria.utility.MaxIterations method)
(small_text.training.early_stopping.EarlyStopping method)
(small_text.training.early_stopping.EarlyStoppingAndCondition method)
(small_text.training.early_stopping.EarlyStoppingOrCondition method)
(small_text.training.model_selection.ModelSelection method)
A
add_model() (small_text.training.model_selection.ModelSelection method)
(small_text.training.model_selection.NoopModelSelection method)
B
BADGE (class in small_text.integrations.pytorch.query_strategies.strategies)
BALD (class in small_text.query_strategies.bayesian)
BreakingTies (class in small_text.query_strategies.strategies)
C
CategoryVectorInconsistencyAndRanking (class in small_text.query_strategies.multi_label)
check_early_stop() (small_text.training.early_stopping.EarlyStopping method)
(small_text.training.early_stopping.EarlyStoppingAndCondition method)
(small_text.training.early_stopping.EarlyStoppingOrCondition method)
(small_text.training.early_stopping.NoopEarlyStopping method)
ClassificationChange (class in small_text.stopping_criteria.change)
Classifier (class in small_text.classifiers.classification)
clone() (small_text.data.datasets.SklearnDataset method)
(small_text.data.datasets.TextDataset method)
ContrastiveActiveLearning (class in small_text.query_strategies.strategies)
D
data (small_text.integrations.pytorch.datasets.PytorchTextClassificationDataset property)
Dataset (class in small_text.data.datasets)
DEFAULT_DEFAULT_SELECT_BY (small_text.training.model_selection.ModelSelection attribute)
DEFAULT_METRICS (small_text.training.model_selection.ModelSelection attribute)
DEFAULT_REQUIRED_METRIC_NAMES (small_text.training.model_selection.ModelSelection attribute)
DeltaFScore (class in small_text.stopping_criteria.base)
DiscriminativeActiveLearning (class in small_text.query_strategies.strategies)
E
EarlyStopping (class in small_text.training.early_stopping)
EarlyStoppingAndCondition (class in small_text.training.early_stopping)
EarlyStoppingOrCondition (class in small_text.training.early_stopping)
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
FIELD_NAME_EARLY_STOPPING (small_text.training.model_selection.ModelSelection attribute)
FineTuningArguments (class in small_text.integrations.transformers.classifiers.classification)
fit() (small_text.integrations.pytorch.classifiers.kimcnn.KimCNNClassifier method)
(small_text.integrations.transformers.classifiers.classification.TransformerBasedClassification method)
(small_text.integrations.transformers.classifiers.setfit.SetFitClassification method)
fit_kwargs (small_text.active_learner.PoolBasedActiveLearner attribute)
forward() (small_text.integrations.pytorch.models.kimcnn.KimCNN method)
from_arrays() (small_text.data.datasets.SklearnDataset class method)
(small_text.data.datasets.TextDataset class method)
(small_text.integrations.pytorch.datasets.PytorchTextClassificationDataset class method)
(small_text.integrations.transformers.datasets.TransformersDataset class method)
G
greedy_coreset() (in module small_text.query_strategies.coresets)
GreedyCoreset (class in small_text.query_strategies.coresets)
I
indices_ignored (small_text.active_learner.PoolBasedActiveLearner attribute)
indices_labeled (small_text.active_learner.PoolBasedActiveLearner attribute)
indices_queried (small_text.active_learner.PoolBasedActiveLearner attribute)
initialize_data() (small_text.active_learner.PoolBasedActiveLearner method)
is_multi_label (small_text.data.datasets.SklearnDataset property)
(small_text.data.datasets.TextDataset property)
K
KappaAverage (class in small_text.stopping_criteria.kappa)
KimCNN (class in small_text.integrations.pytorch.models.kimcnn)
KimCNNClassifier (class in small_text.integrations.pytorch.classifiers.kimcnn)
L
LeastConfidence (class in small_text.query_strategies.strategies)
lightweight_coreset() (in module small_text.query_strategies.coresets)
LightweightCoreset (class in small_text.query_strategies.coresets)
load() (small_text.active_learner.PoolBasedActiveLearner class method)
M
MaxIterations (class in small_text.stopping_criteria.utility)
ModelSelection (class in small_text.training.model_selection)
module
small_text.integrations.pytorch.query_strategies.strategies
small_text.query_strategies.bayesian
small_text.query_strategies.coresets
small_text.query_strategies.strategies
small_text.stopping_criteria.base
small_text.stopping_criteria.change
small_text.stopping_criteria.kappa
small_text.stopping_criteria.uncertainty
small_text.stopping_criteria.utility
N
NoopEarlyStopping (class in small_text.training.early_stopping)
NoopModelSelection (class in small_text.training.model_selection)
O
OverallUncertainty (class in small_text.stopping_criteria.uncertainty)
P
PoolBasedActiveLearner (class in small_text.active_learner)
predict() (small_text.integrations.pytorch.classifiers.kimcnn.KimCNNClassifier method)
(small_text.integrations.transformers.classifiers.classification.TransformerBasedClassification method)
(small_text.integrations.transformers.classifiers.setfit.SetFitClassification method)
predict_proba() (small_text.integrations.pytorch.classifiers.kimcnn.KimCNNClassifier method)
(small_text.integrations.transformers.classifiers.classification.TransformerBasedClassification method)
(small_text.integrations.transformers.classifiers.setfit.SetFitClassification method)
PredictionEntropy (class in small_text.query_strategies.strategies)
PytorchTextClassificationDataset (class in small_text.integrations.pytorch.datasets)
Q
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)
SEALS (class in small_text.query_strategies.strategies)
select() (small_text.training.model_selection.ModelSelection method)
(small_text.training.model_selection.NoopModelSelection method)
SetFitClassification (class in small_text.integrations.transformers.classifiers.setfit)
SetFitModelArguments (class in small_text.integrations.transformers.classifiers.setfit)
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.bayesian
module
small_text.query_strategies.coresets
module
small_text.query_strategies.strategies
module
small_text.stopping_criteria.base
module
small_text.stopping_criteria.change
module
small_text.stopping_criteria.kappa
module
small_text.stopping_criteria.uncertainty
module
small_text.stopping_criteria.utility
module
stop() (small_text.stopping_criteria.base.DeltaFScore method)
(small_text.stopping_criteria.change.ClassificationChange method)
(small_text.stopping_criteria.kappa.KappaAverage method)
(small_text.stopping_criteria.uncertainty.OverallUncertainty method)
(small_text.stopping_criteria.utility.MaxIterations method)
T
target_labels (small_text.data.datasets.Dataset property)
(small_text.data.datasets.SklearnDataset property)
(small_text.data.datasets.TextDataset property)
(small_text.integrations.pytorch.datasets.PytorchTextClassificationDataset property)
(small_text.integrations.transformers.datasets.TransformersDataset property)
TextDataset (class in small_text.data.datasets)
to() (small_text.integrations.pytorch.datasets.PytorchTextClassificationDataset method)
TransformerBasedClassification (class in small_text.integrations.transformers.classifiers.classification)
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
validate() (small_text.integrations.pytorch.classifiers.kimcnn.KimCNNClassifier method)
vocab (small_text.integrations.pytorch.datasets.PytorchTextClassificationDataset property)
X
x (small_text.data.datasets.Dataset property)
(small_text.data.datasets.SklearnDataset property)
(small_text.data.datasets.TextDataset property)
(small_text.integrations.pytorch.datasets.PytorchTextClassificationDataset property)
(small_text.integrations.transformers.datasets.TransformersDataset property)
Y
y (small_text.active_learner.PoolBasedActiveLearner attribute)
(small_text.data.datasets.Dataset property)
(small_text.data.datasets.SklearnDataset property)
(small_text.data.datasets.TextDataset property)
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v: v1.2.0
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