matlab-interpret-machine-learning-model
De la autor
Interpret and explain a trained tabular machine-learning model (classification or regression) in MATLAB. Find which predictors, features, or columns matter most; explain why the model made a specific prediction, including diagnosing predictions it got wrong; show how a predictor affects the output; and compare how the model behaves across cohorts or subgroups. Uses model-agnostic techniques and model-native measures, and works on custom models (such as a dlnetwork) through a prediction function handle. Use for model interpretability, explainability, and feature-importance questions on tabular data, not for training, tuning, feature selection, deploying models, or models trained on image, text, signal, or other non-tabular data.
Instalare
npx skills add matlab/matlab-agentic-toolkit --skill matlab-interpret-machine-learning-model -a claude-code
Se instalează în .claude/skills/matlab-interpret-machine-learning-model/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
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