Oracle Cloud Infrastructure Documentation

Scheduler

The Data Science Scheduler can be used to periodically trigger other Data Science resources, for example, ML jobs, ML pipelines, and ML monitoring.

You can:
  • Run a model training pipeline automatically once a week, every week.
  • Run a ML Monitoring job every day.
  • Run a batch inference job every four hours.
For more information on Data Science resources that can be scheduled, see:

Terminology

Frequency
Used to describe the unit of time defined by an interval value, for example, days or hours.
Interval
A value.
Target Resource
The OCI resource the scheduler is configured to trigger.
Target Resource Type
The type of OCI resource the scheduler is configured to trigger, for example, ML Job or ML Pipeline Trigger.

Key Features

Data Science resources supported for use with the scheduler are:
  • Job Run
  • Pipeline Run
Define a schedule using:
  • A form interface for daily or hourly frequencies.
  • An iCal Expression.
  • A Cron Expression.