v0.7.0
Getting Started
Setup and installation
Concepts
User Management and Workspaces
Advanced setup guides
Guides
Rubrix Cookbook
Tasks Templates
Weak supervision
Monitoring NLP pipelines
Metrics
Tutorials
๐ท๏ธ How to label your data and fine-tune a ๐ค sentiment classifier
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
๐ท๏ธ ๐ซ Faster data annotation with a zero-shot text classifier
Reference
Python
Web App UI
Community
Developer documentation
Github page
Discussion forum
Rubrix
Index
_
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A
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B
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C
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D
|
E
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F
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G
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I
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L
|
M
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N
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P
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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
annotation() (rubrix.labeling.text_classification.weak_labels.WeakLabels method)
apply() (rubrix.labeling.text_classification.rule.Rule method)
B
BulkResponse (class in rubrix.client.models)
C
change_mapping() (rubrix.labeling.text_classification.weak_labels.WeakLabels method)
ComputeFor (class in rubrix.metrics.token_classification.metrics)
copy() (in module rubrix)
D
delete() (in module rubrix)
DuplicatedRuleNameError
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)
fit() (rubrix.labeling.text_classification.label_models.LabelModel method)
(rubrix.labeling.text_classification.label_models.Snorkel method)
G
get_workspace() (in module rubrix)
I
init() (in module rubrix)
input_as_dict() (rubrix.client.models.TextClassificationRecord class method)
int2label (rubrix.labeling.text_classification.weak_labels.WeakLabels property)
L
label2int (rubrix.labeling.text_classification.weak_labels.WeakLabels property)
LabelModel (class in rubrix.labeling.text_classification.label_models)
load() (in module rubrix)
log() (in module rubrix)
M
matrix() (rubrix.labeling.text_classification.weak_labels.WeakLabels method)
mention_length() (in module rubrix.metrics.token_classification.metrics)
module
rubrix
rubrix.client.models
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.LabelModel method)
(rubrix.labeling.text_classification.label_models.Snorkel method)
prediction_as_tuples() (rubrix.client.models.Text2TextRecord class method)
R
records() (rubrix.labeling.text_classification.weak_labels.WeakLabels method)
rubrix
module
rubrix.client.models
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)
rules (rubrix.labeling.text_classification.weak_labels.WeakLabels property)
S
score() (rubrix.labeling.text_classification.label_models.LabelModel method)
(rubrix.labeling.text_classification.label_models.Snorkel method)
set_workspace() (in module rubrix)
show_records() (rubrix.labeling.text_classification.weak_labels.WeakLabels method)
Snorkel (class in rubrix.labeling.text_classification.label_models)
summary() (rubrix.labeling.text_classification.weak_labels.WeakLabels method)
T
Text2TextRecord (class in rubrix.client.models)
TextClassificationRecord (class in rubrix.client.models)
TokenAttributions (class in rubrix.client.models)
TokenClassificationRecord (class in rubrix.client.models)
tokens_length() (in module rubrix.metrics.token_classification.metrics)
W
weak_labels (rubrix.labeling.text_classification.label_models.LabelModel property)
WeakLabels (class in rubrix.labeling.text_classification.weak_labels)
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v: v0.7.0
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