v0.6.0
Getting Started
Setup and installation
Concepts
Tasks
Advanced setup guides
Guides
Rubrix Cookbook
Tasks Templates
Weak supervision
Monitoring and collecting data from third-party apps
Metrics
Tutorials
๐ท๏ธ How to label your data and fine-tune a ๐ค sentiment classifier
๐ซ Explore and analyze
spaCy
NER pipelines
๐งช Node classification with
kglab
and PyTorch Geometric
๐ Human-in-the-loop weak supervision with
snorkel
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
_
|
A
|
B
|
C
|
D
|
E
|
F
|
I
|
L
|
M
|
N
|
P
|
R
|
S
|
T
|
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
copy() (in module rubrix)
D
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)
f1_multilabel() (in module rubrix.metrics.text_classification.metrics)
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)
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.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
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.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
show_records() (rubrix.labeling.text_classification.weak_labels.WeakLabels method)
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
WeakLabels (class in rubrix.labeling.text_classification.weak_labels)
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v: v0.6.0
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