small-text
latest
Getting Started
Installation
Active Learning
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
Other
Changelog
Showcase
Reproducibility Notes
Errata
Bibliography
small-text
»
Index
Edit on GitHub
Index
_
|
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.factories.KimCNNFactory 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.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.TransformerModelArguments method)
(small_text.integrations.transformers.classifiers.factories.SetFitClassificationFactory method)
(small_text.integrations.transformers.classifiers.factories.TransformerBasedClassificationFactory method)
(small_text.integrations.transformers.classifiers.setfit.SetFitClassification method)
(small_text.integrations.transformers.classifiers.setfit.SetFitModelArguments method)
(small_text.integrations.transformers.classifiers.TransformerBasedClassification 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.classifiers.classification.Classifier method)
(small_text.classifiers.classification.SklearnClassifier method)
(small_text.integrations.pytorch.classifiers.KimCNNClassifier method)
(small_text.integrations.transformers.classifiers.setfit.SetFitClassification method)
(small_text.integrations.transformers.classifiers.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
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)
KimCNNClassifier (class in small_text.integrations.pytorch.classifiers)
KimCNNFactory (class in small_text.integrations.pytorch.classifiers.factories)
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
new() (small_text.classifiers.factories.SklearnClassifierFactory method)
(small_text.integrations.pytorch.classifiers.factories.KimCNNFactory method)
(small_text.integrations.transformers.classifiers.factories.SetFitClassificationFactory method)
(small_text.integrations.transformers.classifiers.factories.TransformerBasedClassificationFactory 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.setfit.SetFitClassification method)
(small_text.integrations.transformers.classifiers.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.setfit.SetFitClassification method)
(small_text.integrations.transformers.classifiers.TransformerBasedClassification 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)
SetFitClassificationFactory (class in small_text.integrations.transformers.classifiers.factories)
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)
TransformerBasedClassificationFactory (class in small_text.integrations.transformers.classifiers.factories)
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)
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)
Read the Docs
v: latest
Versions
latest
stable
v1.3.3
v1.3.2
v1.3.1
v1.3.0
v1.2.0
v1.1.1
v1.1.0
v1.0.1
v1.0.0
v1.0.0rc1
v1.0.0b4
v1.0.0b3
v1.0.0b2
v1.0.0b1
1.0.0a8
Downloads
On Read the Docs
Project Home
Builds