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GitHub / MI2DataLab / survshap

SurvSHAP(t): Time-dependent explanations of machine learning survival models

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Stars: 71
Forks: 14
Open Issues: 8

License: mit
Language: Jupyter Notebook
Repo Size: 8.99 MB
Dependencies: 8

Created: almost 2 years ago
Updated: about 2 months ago
Last pushed: 5 months ago
Last synced: about 1 month ago

Topics: biostatistics, brier-scores, censored, cox-model, cox-regression, cph, explainable, explainable-ai, interpretable, learning, machine, machinelearning, model, probabilistic-machine-learning, shap, survival, survival-analysis, time-to-event, variable-importance, xai

Files
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    Readme
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    Dependencies
    survshap_package/pyproject.toml pypi