Azure custom vision choose training time

i'm using API to load my data and make prediction. I have seen documentation to train model using code (https://learn.microsoft.com/en-us/azure/cognitive-services/Custom-Vision-Service/python-tutorial) but I can't figure how to chose training time of my model using the API?

edit: curently i'm importing data using code, training model using azure portal, and making prediction with code

edit2: more info about global process i'm using Azure congitive service to do an image classification task, multiclass (images can belong to only 1 label).

Basically to queue project for training, you have to use below API :

POST {Endpoint}/customvision/v3.0/training/projects/{projectId}/train?trainingType={trainingType}&reservedBudgetInHours={reservedBudgetInHours}&forceTrain={forceTrain}&notificationEmailAddress={notificationEmailAddress}

trainingType should be advanced in case if you want to give hours for computing and you have to provide reservedBudgetInHours in number for computing hours.

trainingType string The type of training to use to train the project (default: Regular).

reservedBudgetInHours The number of hours reserved as budget for training (if applicable).

Additional reference:

https://learn.microsoft.com/en-us/rest/api/cognitiveservices/customvisiontraining/trainproject/trainproject

If you are looking for a way to do it using SDK , then you have to use following method:

train_project(project_id, training_type=None, reserved_budget_in_hours=0, force_train=False, notification_email_address=None, custom_headers=None, raw=False, **operation_config)

Reference:

https://learn.microsoft.com/en-us/python/api/azure-cognitiveservices-vision-customvision/azure.cognitiveservices.vision.customvision.training.custom_vision_training_client.customvisiontrainingclient?view=azure-python#train-project-project-id--training-type-none--reserved-budget-in-hours-0--force-train-false--notification-email-address-none--custom-headers-none--raw-false----operation-config-

Hope it helps.