Metadata-Version: 2.1
Name: interpret-community
Version: 0.1.0.1
Summary: Microsoft Interpret Extensions SDK for Python
Home-page: https://docs.microsoft.com/en-us/azure/machine-learning/service/
Author: Microsoft Corp
Author-email: ilmat@microsoft.com
License: MIT License
Description: # Microsoft Interpret Extensions SDK for Python
        
        ### This package has been tested with Python 2.7 and 3.6
        
        This is the initial extensions SDK release.
        
        Machine learning interpret community package is used to interpret black box ML models.
        
        - The TabularExplainer can be used to give local and global feature importances
        - The best explainer is automatically chosen for the user based on the model
        - Local feature importances are for each evaluation row
        - Global feature importances summarize the most importance features at the model-level
        - The API supports both dense (numpy or pandas) and sparse (scipy) datasets
        - For more advanced users, individual explainers can be used
        - The KernelExplainer and MimicExplainer are for BlackBox models
        - The MimicExplainer is faster but less accurate than the KernelExplainer
        - The TreeExplainer is for tree-based models
        - The DeepExplainer is for DNN tensorflow or pytorch models
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: MacOS
Classifier: Operating System :: POSIX :: Linux
Description-Content-Type: text/markdown
Provides-Extra: mimic
Provides-Extra: deep
Provides-Extra: sample
