To set up model monitoring with TrustyAI for a data science project, a data scientist does the following tasks:
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Authenticate the TrustyAI service
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Send training data to TrustyAI for bias or data drift monitoring
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Label your data fields (optional)
After setting up, a data scientist can create and view bias and data drift metrics for deployed models.
Note
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Model monitoring with TrustyAI is only available on the ModelMesh-based multi-model serving platform. Model monitoring with TrustyAI is unavailable on the KServe-based single-model serving platform. |