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Microsoft Azure Machine Learning Explain Model API for Python
===================================================
This package has been tested with Python 2.7 and 3.6.
=========================
The SDK is being released currently as an interal package.
**Future releases are subject to breaking changes.**
Machine learning (ML) explain model package is used to explain black box ML models.
* The TabularExplainer can be used to give local and global feature importances
* Local feature importances are for each evaluation row
* Global feature importances summarize the most importance features at the model-level
* Model explanations can be operationalized via explain_from_scoring_model
* The API supports both dense (numpy or pandas) and sparse (scipy) datasets
* The best explainer is automatically chosen for the user based on the model
===================================================
This package has been tested with Python 2.7 and 3.6.
=========================
The SDK is being released currently as an interal package.
**Future releases are subject to breaking changes.**
Machine learning (ML) explain model package is used to explain black box ML models.
* The TabularExplainer can be used to give local and global feature importances
* Local feature importances are for each evaluation row
* Global feature importances summarize the most importance features at the model-level
* Model explanations can be operationalized via explain_from_scoring_model
* The API supports both dense (numpy or pandas) and sparse (scipy) datasets
* The best explainer is automatically chosen for the user based on the model
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