You create a multi-class image classification deep learning model.

Step 1: Publish the pipeline.

To schedule a pipeline, you ' ll need a reference to your workspace, the identifier of your published pipeline, and the name of the experiment in which you wish to create the schedule.

Step 2: Retrieve the pipeline ID.

Needed for the schedule.

Step 3: Create a ScheduleRecurrence..

To run a pipeline on a recurring basis, you ' ll create a schedule. A Schedule associates a pipeline, an experiment, and a trigger.

First create a schedule. Example: Create a Schedule that begins a run every 15 minutes:

recurrence = ScheduleRecurrence(frequency= " Minute " , interval=15)

Step 4: Define an Azure Machine Learning pipeline schedule..

Example, continued:

recurring_schedule = Schedule.create(ws, name= " MyRecurringSchedule " ,

description= " Based on time " ,

pipeline_id=pipeline_id,

experiment_name=experiment_name,

recurrence=recurrence)