## Using explain model APIs

Follow these sample notebooks to learn:

1. [Explain tabular data](explain-tabular-data): Basic example of explaining model trained on tabular data.
2. [Explain local classification](explain-local-sklearn-classification): Explain a scikit-learn classification model.
3. [Explain local regression](explain-local-sklearn-regression): Explain a scikit-learn regression model.
4. [Explain on remote AMLCompute](explain-on-amlcompute): Explain a model on a remote AMLCompute target.
5. [Explain classification using Run History](explain-run-history-sklearn-classification): Explain a scikit-learn classification model with Run History.
6. [Explain regression using Run History](explain-run-history-sklearn-regression): Explain a scikit-learn regression model with Run History.
7. [Explain scikit-learn raw features](explain-sklearn-raw-features): Explain the raw features of a trained scikit-learn model.
