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:
- 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.
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:
|If a note book is scheduled, the icon contains arrows.
Learn more about scheduling and running AI Workbench notebooks.
|If a note book is not scheduled, it shows the Python logo.||or|
|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.||or|
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.
|Notebooks executed on a schedule show animated green arrows.|
Notebooks executed via the "Run now" command or via one or more cells being executed show the green Python logo.
If a notebook's kernel is not running, its icon is grey.
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 memory and computing power. If your AI Workbench use cases require additional resources, let us know via email@example.com. We'll discuss your requirements and upgrade your subscription as necessary.