Data and model management

In the platform, you can export data and models between different notebooks. This makes it easy to split the process by importing and cleaning the data in one notebook, and then exporting the cleaned data to reuse it in a new notebook (see Figure 1). Models can also be trained in a notebook and then shared and reused in other notebooks and dashboards.

You can then easily manage all this data/models by clicking in the Data Manager within the landing page of a team (Figure 2) and searching through the list (Figure 3). It is important to know that exported data/models are only available within the team where they got created.

Finally, by clicking on a model/data set in this list, you will be redirected to the notebook where it was created. This is useful when you need to know more about how a model was trained, or how a data set was created.