Update the training interval

The API model is under training, that is, the training period is not over.

In this case, if you increase the training period, for example, from 24 hours to 48 hours, the AI model trains based on the updated training period.

The API model has completed the training process.

Increasing the training period has no effect on trained APIs. Any new APIs will use the new training period.

The API model is in the training process but has not reached the duration of the new training period.

Decreasing the training period (for example, from 24 hours to 12 hours) shortens the training period to 12 hours for the APIs that have not completed the training process. If the API has completed 10 hours of training, then it will now complete its training period after 2 more hours.

The API model is in the training process and the new training duration is less than the current AI model trained duration.

In this case, the API model stops training itself at the current time and moves to the prediction mode.

For example, if the original training period was 24 hours and the AI model has been trained for 18 hours, at this time, if the training period is reduced to 12 hours, the AI model stops training itself and moves to the prediction mode.

API model has completed the training process.

Decreasing the training period has no effect on trained APIs. Any new APIs will use the new training period.