Tabs for a DSL Project

A DSL project utilizes tabs to structure a data science experiment, enabling the outcome to be readily consumed for further data analytics.

How to access the Tabs?

The users can click on the View icon available for a DSL Project, it redirects to a page displaying the various tabs for the selected DSL Project.

• Navigate to the Projects page.

• Select a DSL project from the list.

• Click the View icon.

• The next page appears with the accessible tabs for the selected Project.

Tabs provided to a Python/TensorFlow DSL Project

If you select a PySpark project, the following tabs will be available:

Selecting a PySpark Project

Tabs provided for a PySpark Project

Various Tabs of a DSL Project

The following table provides an outlook of the various tabs provided to a DSL Project:

Name of the Tab	Functions covered by the tab
Workspace	The Workspace tab inside a Repo Sync Project works like a placeholder to keep all the Git Hub & Git Lab Repository documents (folders and files) of the logged-in user.
Data	The Data section focuses on how to add or upload data to your DSL Projects. This tab lists all the added Datasets, Data Stores, and Feature Stores for a Project.
Model	The Model tab includes various models created, saved, or imported using the Data Science Lab module. It broadly lists Data Science Models, Imported Models, and Auto ML models.
AutoML	The Auto ML tab allows the users to create various experiments on top of their datasets and list all their created experiments.

Please Note: The allocation of tabs to a DSL project is environment-based.

• If the user selects the PySpark environment, the available tabs to the user will be Workspace and Data. The user will not have access to the Models and AutoML tabs.

• The DSL Projects created based on Python TensorFlow and Python PyTorch environments will contain all four tabs.