Manage pipelines
To access a list of available pipelines (artifacts), select AutoML > Pipelines. Control Tower updates the list every time a new pipeline is deployed to your environment.
On the page, users can view the following information about existing pipelines:
| Column | Description |
|---|---|
| Code | Pipeline identifier specified in its source code description. |
| Title | Pipeline title specified in its source code description. |
| Version | Pipeline version specified in its source code description. |
| Imported | Date and time (in format dd.mm.yyyy, hh:mm) when the pipeline was added to your environment. New pipelines can appear in an environment in two ways: via explicit import operations or after training. |
| Type | Problem type the pipeline can solve (for instance, information extraction). |
| ML SDK version | ML SDK version used to build the pipeline. |
View details
To view the detailed data on a particular pipeline, click its Code in the list or open the Actions menu and select View.
The details page not only contains pipeline data but also lists models associated with the pipeline:
Clicking the model ID in the list brings you to the model's details page.
Train model
You can train models from the Pipelines tab:
Open the Actions menu for a selected pipeline and choose Train model.
Alternatively, you can click Train model from the pipeline's details page.
In the window that follows, proceed with the model training flow.
Filter and search
You can filter the list of displayed pipelines based on any or all the three criteria:
- Pipeline code from the source code description
- Pipeline type (for instance, information extraction)
- ML SDK version used to build the pipeline
To apply the criteria, click one or more filter buttons at the top of the pipeline list and select required items or find them using the search box. Filters turn blue as they become active, and the items in the pipeline list change accordingly.
To turn off an active filter, click it again. To reset them all, click Clear all.
You can also search for a particular pipeline using the Search by Code and Title box in the top-right corner.
Export
You can export a pipeline as a bundle (zip archive) in one of the two ways:
In the pipeline list, find the one you want to export. Open its Actions menu and select Export pipeline.
On the pipeline's details page, click Actions > Export.
The resulting zip archive contains the selected pipeline (artifact).
Import
To import a pipeline, in the top-right corner of the Pipelines page, click the plus (+) button to open the menu and select Import.
An imported bundle can include only pipelines (artifacts) and models. When the bundle contains any other assets, the import fails.
The import status is visible above the pipeline and model lists. The following statuses are possible:
Uploading: the bundle is being uploaded to Control Tower. At the stage, halt the procedure by clicking the Stop (cross-shaped) button.
Importing: assets are being deployed to your environment. At the stage, you can't stop the procedure.
Success: the status appears once the assets from the bundle are moved to the target environment. It disappears automatically after about 15 seconds, or you can click the close (cross) button. To view the bundle details, click View.
Failed: the status appears for each error. Users need to close the messages manually. The assets imported before the error (if any) appear in the model and pipeline lists accordingly.
