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Batch deployment input details for Python functions
Batch deployment input details for Python functions

Batch deployment input details for Python functions

Follow these rules when 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 Watson Machine Learning the same way that you can deploy models. Your tools and apps can use the Watson Machine Learning Python client or REST API to send data to your deployed functions 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 passing it to models, perform error handling, and include calls to multiple models, all within the deployed function instead of in your application.

Data Sources:

If you are specifying input/output data references programmatically:

Notes:

Parent topic: Batch deployment input details by framework