Feature store's built-in steps#
A step runs a function or class handler or a REST API call: MLRun comes with pre-built steps that include data manipulation, readers, writers and model serving. All steps are supported by the storey engine.
See full details on built-in steps in Building graphs.
Class name |
Description |
|---|---|
Auto enrich the request with data from the feature store. The router input accepts a list of inference requests (each request can be a dict or a list of incoming features/keys). It enriches the request with data from the specified feature vector ( |
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Auto enrich the request with data from the feature store. The router input accepts a list of inference requests (each request can be a dict or a list of incoming features/keys). It enriches the request with data from the specified feature vector ( |
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Validate feature values according to the feature set validation policy. Supported also by the Pandas engines. |