domino-jobs

You can run a Python script as a batch job in Domino by using this Skill to execute the file directly with configurable hardware tiers and environments. It supports passing arguments like '--epochs 100' to your training scripts.

Yes, you can schedule recurring data pipelines on the Domino Data Lab platform by configuring batch jobs with cron expressions. This automates tasks like nightly model retraining without manual intervention.

You monitor batch job status and retrieve logs in Domino using the Skill's built-in tracking mechanisms. It allows you to view current execution states, access detailed logs, and retrieve output artifacts after completion.

You can execute scripts, notebooks, and direct commands as scheduled jobs using Domino. These files run on configurable hardware tiers within specified environments to support diverse data processing workflows.

Configuring hardware tiers before running batch jobs in Domino is supported but not strictly required upfront. The Skill allows you to define or select hardware tiers and environments when you create and execute each job.

Automating model training workflows without manual execution in Domino is achieved by combining batch job creation with cron scheduling. This automatically runs scripts or notebooks and saves the results as output artifacts.