v0.4.1
Getting Started
Setup and installation
Concepts
Tasks
Advanced setup guides
Guides
Monitoring and collecting data from third-party apps
Rubrix Cookbook
Tasks Templates
Tutorials
๐ค Explore data and predictions with
datasets
and
transformers
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
๐ท๏ธ How to label your data and fine-tune a ๐ค sentiment classifier
๐ง Find label errors with cleanlab
๐ซ Zero-shot Named Entity Recognition with Flair
๐งผ Clean labels using your model loss
Reference
Python client
Web App UI
Community
Developer documentation
Github page
Discussion forum
Rubrix
Index
B
|
C
|
D
|
I
|
L
|
M
|
P
|
R
|
T
B
BulkResponse (class in rubrix.client.models)
C
copy() (in module rubrix)
D
delete() (in module rubrix)
I
init() (in module rubrix)
input_as_dict() (rubrix.client.models.TextClassificationRecord class method)
L
load() (in module rubrix)
log() (in module rubrix)
M
module
rubrix
rubrix.client.models
P
prediction_as_tuples() (rubrix.client.models.Text2TextRecord class method)
R
rubrix
module
rubrix.client.models
module
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)
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v: v0.4.1
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docs-improve_flair_cookbook
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