NLP Feature Extractors SDK for Python
This package has been tested with Python 3.7, 3.8 and 3.9
The NLP Feature Extractors project enables the tabular components in the TAI tools to be applied to Natural Language Processing (NLP) tasks on unstructured text.
Please see the main documentation website: https://trustworthyaitoolbox.ai/
The open source code can be found here: https://github.com/affectlog/trustworthy-ai-widgets
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Release files for affectlog-feature-extractors 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| affectlog_feature_extractors-0.2.1.tar.gz | 4.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| affectlog_feature_extractors-0.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.7 kB
Release files / affectlog_feature_extractors-0.2.1.tar.gz
| Download URL | affectlog_feature_extractors-0.2.1.tar.gz |
|---|---|
| Size | 4.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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twine/5.1.1 CPython/3.11.10
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Release files / affectlog_feature_extractors-0.2.1-py3-none-any.whl
| Download URL | affectlog_feature_extractors-0.2.1-py3-none-any.whl |
|---|---|
| Size | 4.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.10
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