azureml-explain-model 1.0.57

用于Python的Microsoft Azure机器学习解释模型API

这个包已经用Python2.7和3.6进行了测试。

sdk的发布有向后兼容性保证。

机器学习（ML）解释模型包用于解释黑盒ML模型。

• 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