Introducing SageMaker Clarify and Model Monitor
SageMaker Clarify provides you with greater visibility into your data and the model it is used to train. Before we begin using a dataset for training, it is important to understand whether there is any bias in the dataset. A biased dataset can influence the prediction behavior of the model. For instance, if a model is trained on a dataset that only has records for older individuals, it will be less accurate when applied to predict outcomes for younger individuals. SageMaker Clarify also allows you to explain your model by showing you reports of which attributes are influencing the model’s prediction behavior. Once the model is deployed, it needs to be monitored for changes in behavior over time as real-world data changes. This is done using SageMaker Model Monitor, which alerts you if there is a shift in the feature importance in the real-world data.
Let us now look at SageMaker Clarify and Model Monitor in more detail.
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