Metadata-Version: 2.0
Name: azureml-explain-model
Version: 0.1.74.1
Summary: UNKNOWN
Home-page: https://docs.microsoft.com/en-us/azure/machine-learning/service/
Author: Microsoft Corp
License: Proprietary https://aka.ms/azureml-sdk-license
Platform: UNKNOWN
Description-Content-Type: text/x-rst
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: shap (<=0.24.0,>=0.20.0)

Microsoft Azure Machine Learning Explain Model API for Python
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This package has been tested with Python 2.7 and 3.6.

This is a preview release
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The SDK is being released as a preview, for gathering feedback.

**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




