ML Training and Deployment Pipeline Using Databricks
Ripple Engineering
MARCH 30, 2023
General Model Lifecycle Experimentation and Development: We use notebooks inside Databricks chiefly for experimentation, and these notebooks run on interactive clusters. Model registry and experiments help us organize all of our experimentation runs. Each cluster has a service account that has access to the requisite data.
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