small-text
General
Installation
Active Learning
Getting Started
Datasets
Components
Initialization
Query Strategies
Stopping Criteria
Classification
Classifiers
Training
Integrations
Pytorch Integration
Transformers Integration
Common Patterns
Data Management
Serialization
API
ActiveLearner API
Classifier API
Dataset API
VectorIndex API
Environment Variables
Other
Changelog
Showcase
Reproducibility Notes
Errata
Bibliography
small-text
Index
Index
_
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A
|
B
|
C
|
D
|
E
|
F
|
G
|
I
|
K
|
L
|
M
|
N
|
O
|
P
|
Q
|
R
|
S
|
T
|
U
|
V
|
X
|
Y
_
__init__() (small_text.classifiers.classification.SklearnClassifier method)
(small_text.classifiers.factories.SklearnClassifierFactory method)
(small_text.data.datasets.SklearnDataset method)
(small_text.data.datasets.TextDataset method)
(small_text.integrations.pytorch.classifiers.base.AMPArguments method)
(small_text.integrations.pytorch.classifiers.factories.KimCNNClassifierFactory method)
(small_text.integrations.pytorch.classifiers.KimCNNClassifier method)
(small_text.integrations.pytorch.datasets.PytorchTextClassificationDataset method)
(small_text.integrations.pytorch.query_strategies.strategies.BADGE method)
(small_text.integrations.pytorch.query_strategies.strategies.DiscriminativeRepresentationLearning 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.classification.TransformerModelArguments method)
(small_text.integrations.transformers.datasets.TransformersDataset method)
(small_text.query_strategies.bayesian.BALD method)
(small_text.query_strategies.class_balancing.ClassBalancer 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.subsampling.AnchorSubsampling method)
(small_text.query_strategies.subsampling.SEALS method)
(small_text.query_strategies.vector_space.ProbCover 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)
(small_text.vector_indexes.base.VectorIndexFactory method)
A
AdaptiveActiveLearning (class in small_text.query_strategies.multi_label)
add_model() (small_text.training.model_selection.ModelSelection method)
(small_text.training.model_selection.NoopModelSelection method)
AMPArguments (class in small_text.integrations.pytorch.classifiers.base)
AnchorSubsampling (class in small_text.query_strategies.subsampling)
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)
build() (small_text.vector_indexes.base.VectorIndex method)
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)
ClassBalancer (class in small_text.query_strategies.class_balancing)
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)
DiscriminativeRepresentationLearning (class in small_text.integrations.pytorch.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.classifiers.classification.Classifier method)
(small_text.classifiers.classification.SklearnClassifier method)
(small_text.integrations.pytorch.classifiers.KimCNNClassifier method)
(small_text.integrations.transformers.classifiers.classification.TransformerBasedClassification method)
fit_kwargs (small_text.active_learner.PoolBasedActiveLearner attribute)
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
index (small_text.vector_indexes.base.VectorIndex property)
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() (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)
KimCNNClassifier (class in small_text.integrations.pytorch.classifiers)
KimCNNClassifierFactory (class in small_text.integrations.pytorch.classifiers.factories)
L
LabelCardinalityInconsistency (class in small_text.query_strategies.multi_label)
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.class_balancing
small_text.query_strategies.coresets
small_text.query_strategies.multi_label
small_text.query_strategies.strategies
,
[1]
,
[2]
small_text.query_strategies.subsampling
small_text.query_strategies.vector_space
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
new() (small_text.classifiers.factories.SklearnClassifierFactory method)
(small_text.integrations.pytorch.classifiers.factories.KimCNNClassifierFactory method)
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.classifiers.classification.Classifier method)
(small_text.classifiers.classification.SklearnClassifier method)
(small_text.integrations.pytorch.classifiers.KimCNNClassifier method)
(small_text.integrations.transformers.classifiers.classification.TransformerBasedClassification method)
predict_proba() (small_text.classifiers.classification.Classifier method)
(small_text.classifiers.classification.SklearnClassifier method)
(small_text.integrations.pytorch.classifiers.KimCNNClassifier method)
(small_text.integrations.transformers.classifiers.classification.TransformerBasedClassification method)
PredictionEntropy (class in small_text.query_strategies.strategies)
ProbCover (class in small_text.query_strategies.vector_space)
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() (small_text.vector_indexes.base.VectorIndex method)
remove_label_at() (small_text.active_learner.PoolBasedActiveLearner method)
S
save() (small_text.active_learner.PoolBasedActiveLearner method)
SEALS (class in small_text.query_strategies.subsampling)
search() (small_text.vector_indexes.base.VectorIndex method)
select() (small_text.training.model_selection.ModelSelection method)
(small_text.training.model_selection.NoopModelSelection 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.bayesian
module
small_text.query_strategies.class_balancing
module
small_text.query_strategies.coresets
module
small_text.query_strategies.multi_label
module
small_text.query_strategies.strategies
module
,
[1]
,
[2]
small_text.query_strategies.subsampling
module
small_text.query_strategies.vector_space
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)
TransformerModelArguments (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.KimCNNClassifier method)
VectorIndex (class in small_text.vector_indexes.base)
VectorIndexFactory (class in small_text.vector_indexes.base)
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)