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Manage model trainings

To access a list of ongoing or completed model trainings, select AutoML > Trainings. Control Tower updates the list every time you start a model training.

From the list, users can also find out information about trainings and trained models, such as contained in the table below.

Parameter	Description
ID	A model identifier specified in the course of its training. Training IDs correspond to trained model IDs. Once training is completed successufully, the IDs become links to the details of associated trained models.
Code	The identifier of the associated hyper model specified in its source code description.
Version	The version of the associated hyper model specified in its source code description.
Type	Indicates the problem type the trained model can solve (for instance, information extraction).
ML SDK version	Signifies the ML SDK version used to build the associated hyper model.
Started	The date and time of starting the training
Finished	The date and time of completing the training
Status	The current training status: Completed (green), Stopped (grey), Failed (error icon).

note

To update statuses during a session, switch to another page or refresh the Trainings page.

View error log

To view the log, click the error indication. A popup appears showing the details of the error.

Filter and search

You can filter the list of displayed model trainings based on any or all the three criteria:

• associated hyper model code
• trained model type
• ML SDK version used for building the trained model
• current training status

To apply the criteria, click one or more filter buttons at the top of the trained model list and select required items or find them using the search box. Filters turn blue as they become active, and the items in the training list change accordingly.

To turn off an active filter, click it again. To reset them all, click Clear all.

You can also search the list for a particular model training using the Search by ID and Code box in the top right corner.