-See the [how-to](how-to-machine-learning-interpretability-aml.md) for enabling interpretability for models training both locally and on Azure Machine Learning remote compute resources. See the [sample notebooks](https://github.com/Azure/MachineLearningNotebooks/tree/master/how-to-use-azureml/explain-model) for additional scenarios. Additionally if you're interested in interpretability for text scenarios, see [Interpret-text](https://github.com/interpretml/interpret-text), a sister open source repo to [Interpret-Community](https://github.com/interpretml/interpret-community/), for interpretability techniques for NLP. `azureml.interpret` package does not currently support these techniques but you can get started with an [example notebook on text classification](https://github.com/interpretml/interpret-text/blob/master/notebooks/text_classification/text_classification_classical_text_explainer.ipynb).
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