Getting Started

This page outlines the steps to access the DSLab module from the platform homepage and the left side navigation panel of the Data Science Lab module.

Accessing the Data Science Lab Module

The Data Science Lab (DSLab) module provides an integrated environment for creating projects, managing datasets, building machine learning models, and working with AutoML.

Prerequisites

Before accessing the DSLab module, ensure that:

  • The user has the required App Permission.

  • Permissions can be configured in the Security module by an administrator.

Steps to Access the Data Science Lab Module

  1. Navigate to the Platform Homepage.

  2. Perform one of the following:

    • Option 1: Click the Apps menu icon on the homepage and select DSLab.

    • Option 2: Click Data Science Lab from the left navigation panel.

Accessing the Project List Page

  • Once launched, the user is redirected to the Project List page of DSLab.

  • The Projects page is the default welcome page when DSLab is accessed via the Apps menu.

  • If accessed via the left navigation panel, users must manually click the Projects option in the DSLab sidebar to open the Projects page.

  • Navigation Paths:

    • Navigation Path (Apps menu): Platform Homepage > Apps menu > Data Science Lab

    • Navigation Path (Sidebar): Platform Homepage > Left Panel > Data Science Lab > Projects

    • Default Entry Page: Project List (Projects page)

By default, selecting Data Science Lab from the left-side menu will take you directly to the Projects page, where module-specific options are displayed in the sidebar.

Path: Home > Data Science Lab > [Projects | Agentic Tools | Models | AutoML | Trash]

  • Projects – Create and manage project workspaces.

  • Agentic Tools – Use built-in AI/automation tools.

  • Models – Manage registered ML models.

  • AutoML – Build models automatically with minimal coding.

  • Trash – Restore or permanently delete removed items.

Sidebar Navigation

1. Projects

  • Access all projects created in DSLab.

  • Create new projects, define environments, and allocate resources.

  • Manage Git-enabled projects with version control.

  • Activate a project to open its Workspace, which includes Notebooks (Repo folder), Datasets, Models, and Utilities.

2. Agentic Tools

  • Provides access to AI/ML-powered tools available within DSLab.

  • Includes utilities for automation, experimentation, and integration with data agents.

  • Enables low-code or no-code capabilities for running specialized workflows.

3. Models

  • Centralized location to view, register, and manage Data Science models.

  • Users can track performance metrics, version models, and export them to pipelines.

  • Both custom models (built in Notebooks) and AutoML models appear here.

4. AutoML

  • Simplifies model creation by automating feature engineering, algorithm selection, and hyperparameter tuning.

  • Users provide a dataset and target variable, and AutoML generates the best-fit model.

  • Export AutoML models directly to pipelines for deployment.

5. Trash

  • Contains all deleted project entities.

  • Supports the recovery of mistakenly deleted projects or permanent deletion for cleanup purposes.

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