In AI Workbench, you create and run AI models using Jupyter notebooks. To run a model, or set a schedule for running it, you use the scheduling tab in AI Workbench. This page also shows the run history, with details of the run and output files you can download.
Setting a schedule for AI Workbench notebooks
To access the schedule settings for AI Workbench, open the Schedule and run history panel for a notebook. In the Setup section, activate the Enable scheduled execution checkbox to set a schedule to run the notebook.
To do a single run of a notebook, click the [Run now] button under Run history.
To set up a schedule for running it, click the configuration icon (cog wheel) and set the time and frequency for running the notebook. Save your settings.
First, choose the type of schedule you want. There are four options:
- Number of times per day
- Days of the week
- Day of the month
- Weekday of the month
Depending on the choice you make, you will have to fill in some extra data to complete the schedule.
Running an AI Workbench notebook
Green arrows appear at the top of the Schedule and run history panel when a notebook Python kernel is scheduled to run, or enabled for scheduled execution. These arrows are grey if notebooks are not running or scheduled.
To learn more about AI Workbench notebooks and their status, see AI Workbench notebook status icons.
Note: Your instance of AI Workbench uses a shared resource pool with other BlueConic customers. BlueConic does not share data across customers; you only share resources such as memory and computing power. If your use cases require additional resources, contact us at firstname.lastname@example.org to discuss your requirements.