Questions tagged with Amazon SageMaker Clarify
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How to pass values for a "shap_baseline" if we have categorical values (string values) as features in classsagemaker.clarify.SHAPConfig method.
using [this documentation](https://sagemaker.readthedocs.io/en/stable/api/training/processing.html#sagemaker.clarify.SHAPConfig) i passing a single row as to shap_baseline parameter to implement explainability monitoring , a similar implementation of what is done in [in this github repo implementation](https://github.com/aws/amazon-sagemaker-examples/blob/main/sagemaker_model_monitor/fairness_and_explainability/SageMaker-Model-Monitor-Fairness-and-Explainability.ipynb). if I am passing a single row as input to shap_baseline parameter, the schedule is failing by concatenating 2 rows. If i ignore the shap_baseline (as it is optional), the schedule is taking forever to run. Help of any kind is really appreciated. thanks for your time and effort :)