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articles/machine-learning/how-to-trigger-published-pipeline.md

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@@ -54,7 +54,7 @@ pipeline_id = "aaaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee"
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To run a pipeline on a recurring basis, you'll create a schedule. A `Schedule` associates a pipeline, an experiment, and a trigger. The trigger can either be a`ScheduleRecurrence` that describes the wait between runs or a Datastore path that specifies a directory to watch for changes. In either case, you'll need the pipeline identifier and the name of the experiment in which to create the schedule.
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At the top of your python file, import the `Schedule` and `ScheduleRecurrence` classes:
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At the top of your Python file, import the `Schedule` and `ScheduleRecurrence` classes:
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```python
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