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.
Notebook run history
This page also shows the run history, with details of the run and output files you can download. In the metadata section at the top of the notebook page, you can set up email notifications when the notebook runs.
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:
- Every X minutes
- 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.
Get notified when AI Workbench notebooks run
At the top of the configuration page for AI notebooks, in the metadata section, you can request that BlueConic notify one or more email addresses when the notebook is run.
You can choose to receive emails either each time it runs or only if it fails to run successfully.
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. We have collected tips and best practices for optimizing the performance of AI Workbench notebooks.
AI Workbench notebook status icons
In AI Workbench, each Jupyter notebook's icon shows that notebook's current status:
| Scheduling status: | |
| If a note book is scheduled, the icon contains arrows. Learn more about scheduling and running AI Workbench notebooks. |
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| If a note book is not scheduled, it shows the Python logo. |
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| Editing status: | |
| If a notebook is being edited, it shows a green icon: | |
| A notebook's icon shows green arrows if the notebook is being edited and also being scheduled. | |
| A notebook's icon shows the green Python logo if it is being edited but is not scheduled. | |
| Notebooks that are not being edited have grey icons. |
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Execution status: A notebook icon is green when the notebook kernel is running -- which is when the notebook is being edited (or was edited in the past minute), or if the notebook is executed via the Run now command or on a schedule. |
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| Notebooks executed on a schedule show animated green arrows. | |
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Notebooks executed via the "Run now" command or via one or more cells being executed show the green Python logo. |
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If a notebook's kernel is not running, its icon is grey. |
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Python dependencies
For a list of current Python dependencies for developers creating Jupyter notebooks in the BlueConic AI Workbench, see https://supportdocs.blueconic.com/python/changelog/100-dependencies-changelog.html.
Resource usage
Your instance of AI Workbench uses a shared resource pool with other BlueConic customers. Note that BlueConic does not share data across customers; you only share resources such as computing power. If your AI Workbench use cases require additional resources, let us know via support@blueconic.com. We'll discuss your requirements and upgrade your subscription as necessary.