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Copy file name to clipboardExpand all lines: articles/machine-learning/how-to-schedule-pipeline-job.md
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@@ -100,7 +100,7 @@ When you have a pipeline job with satisfying performance and outputs, you can se
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-**Time zone**: the time zone based on which to calculate the trigger time, by default is (UTC) Coordinated Universal Time.
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-**Recurrence** or **Cron expression**: select recurrence to specify the recurring pattern. Under **Recurrence**, you can specify the recurrence frequency as minutely, hourly, daily, weekly and monthly.
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-**Start**: specifies the date from when the schedule becomes active. By default it's the date you create this schedule.
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-**End**: specifies the date after when the schedule becomes inactive. By default its NONE, which means the schedule will always be active until you manually disable it.
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-**End**: specifies the date after when the schedule becomes inactive. By default it's NONE, which means the schedule will always be active until you manually disable it.
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-**Tags**: tags of the schedule.
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After you configure the basic settings, you can directly select **Review + Create**, and the schedule will automatically submit jobs according to the recurrence pattern you specified.
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## Cost considerations
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- Schedules are billed based on the number of schedules, each schedule will create a logic apps host azure machine learning subs on behalf (HOBO) of the user.
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- The cost of logic apps will change back to the user's azure subscription, and you can find costs of HOBO resources are billed using the same meter emitted by the original RP. They are shown under the host resource (the workspace).
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- Schedules are billed based on the number of schedules, each schedule will create a logic apps host Azure Machine Learning subs on behalf (HOBO) of the user.
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- The cost of logic apps will change back to the user's Azure subscription, and you can find costs of HOBO resources are billed using the same meter emitted by the original RP. They are shown under the host resource (the workspace).
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