Hi AnxiousSeal95 !
Yes, main reason is to unclutter the ClearML Web UI but also free up space on our server (mainly due to the large size of the datasets). Once the models are trained, I want to retrain them periodically, and to do so I would like all the data specifications and artifacts generated during training to be linked to the model found under the " Models" section.
What I propose is somehow similar to the functionality of clearml.Dataset . These datasets are themselves a task to which I can attach configuration and artifacts. For example, dates corresponding to a set of samples, feature shapes, etc.
With the current API, if I want to make inference with a model I should keep the training tasks as well (since there resides much of the information associated with the model)