v0.13.0
Getting Started
Setup and installation
Concepts
User Management and Workspaces
Advanced setup guides
Guides
Rubrix Cookbook
Tasks Templates
Weak supervision
Monitoring NLP pipelines
Metrics
Datasets
Queries
Tutorials
๐ท๏ธ Label your data to fine-tune a classifier with Hugging Face
๐ฐ Building a news classifier with weak supervision
๐ซ Explore and analyze
spaCy
NER pipelines
๐ค Active learning with ModAL and scikit-learn
๐ง Find label errors with cleanlab
๐ซ Zero-shot Named Entity Recognition with Flair
๐งผ Clean labels using your model loss
๐พ Monitor predictions in HTTP API endpoints
๐ญ Weakly supervised NER with
skweak
๐ Weak supervision in multi-label text classification tasks
Reference
Python
Web App UI
Community
Developer documentation
Github page
Discussion forum
Rubrix
Index
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A
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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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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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W
_
__call__() (rubrix.labeling.text_classification.rule.Rule method)
A
add_default_score() (rubrix.client.models.TokenClassificationRecord class method)
annotation() (rubrix.labeling.text_classification.weak_labels.WeakLabels method)
(rubrix.labeling.text_classification.weak_labels.WeakMultiLabels method)
apply() (rubrix.labeling.text_classification.rule.Rule method)
author (rubrix.labeling.text_classification.rule.Rule property)
C
cardinality (rubrix.labeling.text_classification.weak_labels.WeakLabels property)
(rubrix.labeling.text_classification.weak_labels.WeakMultiLabels property)
change_mapping() (rubrix.labeling.text_classification.weak_labels.WeakLabels method)
char_id2token_id() (rubrix.client.models.TokenClassificationRecord method)
ComputeFor (class in rubrix.metrics.token_classification.metrics)
copy() (in module rubrix)
D
DatasetForText2Text (class in rubrix.client.datasets)
DatasetForTextClassification (class in rubrix.client.datasets)
DatasetForTokenClassification (class in rubrix.client.datasets)
delete() (in module rubrix)
E
entity_capitalness() (in module rubrix.metrics.token_classification.metrics)
entity_consistency() (in module rubrix.metrics.token_classification.metrics)
entity_density() (in module rubrix.metrics.token_classification.metrics)
entity_labels() (in module rubrix.metrics.token_classification.metrics)
F
f1() (in module rubrix.metrics.text_classification.metrics)
(in module rubrix.metrics.token_classification.metrics)
f1_multilabel() (in module rubrix.metrics.text_classification.metrics)
find_label_errors() (in module rubrix.labeling.text_classification.label_errors)
fit() (rubrix.labeling.text_classification.label_models.FlyingSquid method)
(rubrix.labeling.text_classification.label_models.Snorkel method)
FlyingSquid (class in rubrix.labeling.text_classification.label_models)
from_datasets() (rubrix.client.datasets.DatasetForText2Text class method)
(rubrix.client.datasets.DatasetForTextClassification class method)
(rubrix.client.datasets.DatasetForTokenClassification class method)
from_pandas() (rubrix.client.datasets.DatasetForText2Text class method)
(rubrix.client.datasets.DatasetForTextClassification class method)
(rubrix.client.datasets.DatasetForTokenClassification class method)
G
get_workspace() (in module rubrix)
I
init() (in module rubrix)
int2label (rubrix.labeling.text_classification.weak_labels.WeakLabels property)
L
label (rubrix.labeling.text_classification.rule.Rule property)
label2int (rubrix.labeling.text_classification.weak_labels.WeakLabels property)
labels (rubrix.labeling.text_classification.weak_labels.WeakLabels property)
(rubrix.labeling.text_classification.weak_labels.WeakMultiLabels property)
load() (in module rubrix)
load_rules() (in module rubrix.labeling.text_classification.rule)
log() (in module rubrix)
M
matrix() (rubrix.labeling.text_classification.weak_labels.WeakLabels method)
(rubrix.labeling.text_classification.weak_labels.WeakMultiLabels method)
mention_length() (in module rubrix.metrics.token_classification.metrics)
metrics() (rubrix.labeling.text_classification.rule.Rule method)
module
rubrix
rubrix.client.datasets
rubrix.client.models
rubrix.labeling.text_classification.label_errors
rubrix.labeling.text_classification.label_models
rubrix.labeling.text_classification.rule
rubrix.labeling.text_classification.weak_labels
rubrix.metrics.text_classification.metrics
rubrix.metrics.token_classification.metrics
N
name (rubrix.labeling.text_classification.rule.Rule property)
P
predict() (rubrix.labeling.text_classification.label_models.FlyingSquid method)
(rubrix.labeling.text_classification.label_models.Snorkel method)
prediction_as_tuples() (rubrix.client.models.Text2TextRecord class method)
prepare_for_training() (rubrix.client.datasets.DatasetForTextClassification method)
(rubrix.client.datasets.DatasetForTokenClassification method)
Q
query (rubrix.labeling.text_classification.rule.Rule property)
R
read_datasets() (in module rubrix.client.datasets)
read_pandas() (in module rubrix.client.datasets)
rubrix
module
rubrix.client.datasets
module
rubrix.client.models
module
rubrix.labeling.text_classification.label_errors
module
rubrix.labeling.text_classification.label_models
module
rubrix.labeling.text_classification.rule
module
rubrix.labeling.text_classification.weak_labels
module
rubrix.metrics.text_classification.metrics
module
rubrix.metrics.token_classification.metrics
module
Rule (class in rubrix.labeling.text_classification.rule)
S
score() (rubrix.labeling.text_classification.label_models.FlyingSquid method)
(rubrix.labeling.text_classification.label_models.Snorkel method)
set_workspace() (in module rubrix)
show_records() (rubrix.labeling.text_classification.weak_labels.WeakLabels method)
(rubrix.labeling.text_classification.weak_labels.WeakMultiLabels method)
Snorkel (class in rubrix.labeling.text_classification.label_models)
spans2iob() (rubrix.client.models.TokenClassificationRecord method)
summary() (rubrix.labeling.text_classification.weak_labels.WeakLabels method)
(rubrix.labeling.text_classification.weak_labels.WeakMultiLabels method)
T
Text2TextRecord (class in rubrix.client.models)
TextClassificationRecord (class in rubrix.client.models)
token_capitalness() (in module rubrix.metrics.token_classification.metrics)
token_frequency() (in module rubrix.metrics.token_classification.metrics)
token_length() (in module rubrix.metrics.token_classification.metrics)
token_span() (rubrix.client.models.TokenClassificationRecord method)
TokenAttributions (class in rubrix.client.models)
TokenClassificationRecord (class in rubrix.client.models)
tokens_length() (in module rubrix.metrics.token_classification.metrics)
W
WeakLabels (class in rubrix.labeling.text_classification.weak_labels)
WeakMultiLabels (class in rubrix.labeling.text_classification.weak_labels)
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