Metadata-Version: 2.1
Name: al360_trustworthyai_text
Version: 0.2.7
Summary: SDK API to assess text Machine Learning models.
Home-page: https://github.com/affectlog360/affectlog360
Author: Roman Lutz, Ilya Matiach, Ke Xu
Author-email: al360_taiwidgets-maintain@affectlog.com
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 3 - Alpha
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: numpy<2.0.0,>=1.17.2
Requires-Dist: pandas>=0.25.1
Requires-Dist: scikit-learn>=0.22.1
Requires-Dist: scipy>=1.4.1
Requires-Dist: semver~=2.13.0
Requires-Dist: nlp-feature-extractors==0.1.0
Requires-Dist: al360_trustworthyai>=0.35.0
Provides-Extra: qa
Requires-Dist: evaluate; extra == "qa"
Requires-Dist: bert_score; extra == "qa"
Requires-Dist: nltk; extra == "qa"
Requires-Dist: rouge_score; extra == "qa"
Provides-Extra: generative-text
Requires-Dist: interpret_text; extra == "generative-text"
Requires-Dist: sentence_transformers; extra == "generative-text"

# AL360° Trustworthy AI Text SDK for Python

### This package has been tested with Python 3.7, 3.8 and 3.9

The AL360° Trustworthy AI Text sdk enables users to analyze their machine learning models for text data in one API. Users will be able to analyze errors, explain the most important features, and understand their data using a single API.

Highlights of the package include:

- `explainer.add()` explains the model

### Supported scenarios, models and datasets

The AL360° Trustworthy AI Text SDK supports multiclass classification and question answering models on text data currently.

The open source code for the visualization dashboard can be found here:
https://github.com/affectlog360/affectlog360
