#

black-box-explanations

Here are 3 public repositories matching this 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.

python nlp npm text-classification jupyter-notebook azure-sdk data-scientists data-analyst linear-models nlp-models visualization-dashboard explainer black-box-explanations local-explanations text-interpretability nlp-scenarios glass-box-explainers grey-box-explainers microsoft-azureml

Updated Feb 5, 2024
Python

pyslise

edahelsinki / pyslise

Robust regression algorithm that can be used for explaining black box models (Python implementation)

python machine-learning research sparse-regression research-paper explainable-ai explainable-ml interpretable-machine-learning robust-regression model-agnostic black-box-explanations local-explanations explain-classifiers slise slise-algorithm

Updated May 11, 2024
Python

slise

edahelsinki / slise

Robust regression algorithm that can be used for explaining black box models (R implementation)

machine-learning r research r-package sparse-regression research-paper explainable-ai explainable-ml interpretable-machine-learning robust-regression model-agnostic black-box-explanations local-explanations explain-classifiers slise slise-algorithm

Updated Aug 17, 2023
R

Improve this page

Add a description, image, and links to the black-box-explanations topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the black-box-explanations topic, visit your repo's landing page and select "manage topics."