contextual-ai

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Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference - thereby addressing the trust gap between such ML systems and their users. It does not refer to a specific algorithm or ML method — instead, it takes a human-centric view and approach to AI.

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최종 버전 다운로드 (.zip)

- dep5
- - autodoc.rst
  - changelog.rst
  - compiler_module.rst
  - compiler_module_tutorial.rst
  - conf.py
  - data_module.rst
  - data_module_tutorial.rst
  - developer_guide.rst
  - formatter_module.rst
  - formatter_module_tutorial.rst
  - index.rst
  - inference_module.rst
  - inference_module_tutorial.rst
  - jupyter_cross_reference.ipynb
  - jupyter_cross_reference.nblink
  - training_module.rst
  - training_module_tutorial.rst
- .nojekyll
- apidoc.sh
- copy_images.sh
- depr_index.html
- make.bat
- Makefile
- README.md
- requirements.txt
- logo.png
- nltk_downloader.jpg
- titanic_report.png
- Apache-2.0.txt
- run_unit_tests.sh
- - __init__.py
  - test_basic_skeleton_generator.py
  - test_data_statistics_analysis.py
  - test_data_statistics_analysis_meteorites.py
  - test_data_statistics_analysis_nza.py
  - test_data_statistics_analysis_stat_auto.py
  - test_data_statistics_analysis_titanic.py
  - test_feature_importance_ranking_with_tabular_lime_shap_classification.py
  - test_feature_importance_ranking_with_tabular_shap_lasso.py
  - test_feature_importance_ranking_with_tabular_shap_regression.py
  - test_model_interpreter_with_tabular_lime_classification.py
  - test_model_interpreter_with_tabular_lime_regression.py
  - test_model_interpreter_with_text_lime_classification.py
  - util.py
- - __init__.py
  - test_abstract_explainer.py
  - test_explainer_factory.py
  - test_lime_tabular_explainer.py
  - test_lime_text_explainer.py
  - test_shap_tabular_explainer.py
  - test_utils.py
- - __init__.py
  - test_html_report.py
  - test_pdf_report.py
  - util.py
- __init__.py
- Report Render.ipynb
- test_requirements.txt
- - README.md
- - data_explorer.ipynb
  - README.md
- - __init__.py
  - lime_tabular_explainer.ipynb
  - lime_tabular_explainer_regression.ipynb
  - lime_text_explainer.ipynb
  - lime_text_explainer_with_keras.ipynb
  - README.md
  - shap_tabular_explainer.ipynb
- - __init__.py
  - README.md
- - model_interpreter.ipynb
  - README.md
- __init__.py
- README.md
- requirements.txt
- - __init__.py
  - base.py
  - data.py
  - evaluation.py
  - explainer.py
  - features.py
  - model.py
  - README.md
  - validator.py
  - writer.py
- - __init__.py
  - abstract_stats.py
  - constants.py
  - exceptions.py
  - helper.py
  - README.md
- - __init__.py
  - abstract_explainer.py
  - config.py
  - constants.py
  - explainer_exceptions.py
  - explainer_factory.py
  - helper.py
  - README.md
  - utils.py
- - __init__.py
  - README.md
- - __init__.py
  - basic_graph.py
  - format_contants.py
  - generate_combo_figures.py
  - graph_generator.py
  - utils.py
- - __init__.py
  - README.md
- - __init__.py
  - data_stats_notebook_plots.py
- - __init__.py
  - recommendation.py
- __init__.py
- constants.py
- exception.py
- util.py
.gitignore
.travis.yml
build.sh
changelog.md
CONTRIBUTING.md
Dockerfile
LICENSE
MANIFEST.in
README.md
requirements.txt
setup.py
version.txt

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