Batch deployment input details for Python functions
Last updated: Nov 27, 2024
Batch deployment input details for Python functions
Follow these rules when you are specifying input details for batch deployments of Python functions.
Data type summary table:
Data
Description
Type
inline
File formats
N/A
You can deploy Python functions in watsonx.ai Runtime the same way that you can deploy models. Your tools and apps can use the watsonx.ai Python client or REST API to send data to your deployed functions in the same way that they send data to
deployed models. Deploying functions gives you the ability to:
Hide details (such as credentials)
Preprocess data before you pass it to models
Handle errors
Include calls to multiple models All of these actions take place within the deployed function, instead of in your application.
Data sources
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If you are specifying input/output data references programmatically:
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