AMAZON WEB SERVICES

SageMaker Clarify is integrated with SageMaker Experiments to provide scores detailing which features contributed the most to your model prediction on a particular input for tabular, natural language processing (NLP), and computer vision models. For tabular datasets, SageMaker Clarify can also output an aggregated feature importance chart which provides insights into the overall prediction process of the model. These details can help determine if a particular model input has more influence than expected on overall model behavior. For tabular data, in addition to the feature importance scores, you can also use partial dependence plots (PDPs) to show the dependence of the predicted target response on a set of input features of interest... SageMaker Clarify can also provide insights into computer vision and NLP models. For vision models, you can see which parts of the image the models found most important with SageMaker Clarify. For NLP models, SageMaker Clarify provides feature..

Also known as: Amazon Web Services, Inc., SageMaker Clarify