black-box-explanations

There are 1 repository under black-box-explanations topic.

interpretml / interpret-text
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.
text-interpretability explainer nlp-models jupyter-notebook visualization-dashboard nlp-scenarios data-scientists glass-box-explainers linear-models grey-box-explainers black-box-explanations nlp text-classification data-analyst local-explanations python npm microsoft-azureml azure-sdk
Language:Python 402
pyslise
edahelsinki / pyslise
Robust regression algorithm that can be used for explaining black box models (Python implementation)
python robust-regression black-box-explanations local-explanations explain-classifiers explainable-ai explainable-ml interpretable-machine-learning sparse-regression model-agnostic machine-learning research-paper research slise slise-algorithm
Language:Python 5
slise
edahelsinki / slise
Robust regression algorithm that can be used for explaining black box models (R implementation)
r robust-regression black-box-explanations local-explanations explain-classifiers explainable-ai explainable-ml interpretable-machine-learning sparse-regression model-agnostic machine-learning research-paper research slise slise-algorithm r-package
Language:R 5