Data Science Lab
  • What is Data Science Lab?
  • Accessing the Data Science Lab Module
  • Homepage
  • List Projects
  • List Feature Stores
  • Create
    • Create Project
      • Container Status Message
    • Create Feature Store
  • Registered Models and APIs
  • Settings
  • Trash
  • Tabs for a DSL Project
    • Workspace
      • Workspace Folders
        • Repo Folder Attributes
          • Notebook Actions
            • Export
            • Register as Job
            • Notebook Version Control
            • Share
            • Delete
            • Information
        • Repo Folder Attributes for a Repo Sync Project
          • File Attributives
        • Utils Folder Attributes
          • Utility Actions
        • Files Attributes
      • Working with the Workspace tab
        • Create
        • Import
          • Importing Notebook
          • Pull from Git
        • Adding File and Folders
      • Linter
      • Git Console
    • Data
      • Adding Data
      • Data List Page
    • Model
      • Import Model
      • Explainer Generator
      • Export to GIT/ Model Migration
      • Model Explainer
      • Share a Model
      • Register a Model
      • Unregister a Model
      • Register a Model as an API Service
        • Register a Model as an API
        • Register an API Client
        • Pass Model Values in Postman
      • Delete Model
    • AutoML
      • Creating AutoML Experiment
      • AutoML List Page
        • View Explanation
          • Model Summary
          • Model Interpretation
            • Classification Model Explainer
            • Regression Model Explainer
            • Forecasting Model Explainer
          • Dataset Explainer
  • Data Science Notebook
    • Preview File
    • Save as Notebook
    • .ipynb File Cells
      • Using a Code Cell
      • Using a Markdown Cell
      • Using an Assist Cell
    • Resource Utilization Graph
    • Taskbar
    • Actions Icons
  • Model Creation using Data Science Notebook
  • Notebook Operations
    • Data
      • Copy Path Functionality
    • Secrets
    • Algorithms
    • Transforms
    • Artifacts
    • Variable Explorer
    • Writers
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On this page
  • Accessing the Workspace Tab for a Repo Sync Projects
  • Accessing the Workspace Tab for other Data Science Projects
  1. Tabs for a DSL Project

Workspace

The Workspace is a placeholder to create and save various data science experiments inside the Data Science Lab modules.

The Workspace is the default tab to open for each Data Science Lab project. Based on the Project types the options to begin working with Workspace may differ.

  • The Repo Sync Projects offer File and Folder options on the default page of the Workspace tab.

  • The normal Data Science Projects will have Create and Import options under the Workspace landing page.

Accessing the Workspace Tab for a Repo Sync Projects

  • Navigate to the Projects page.

  • Select an activated Repo Sync Project from the displayed list.

  • Click the View icon to open the project.

  • The Repo Sync project opens displaying the Workspace tab.

    • A Repo folder gets added to the selected Repo Sync project based on the selected Git repository account (at the user-level settings) under the Notebook tab with Refresh and Git Console icons.

Icons
Name of the Icons
Actions

Refresh

Refreshes the data taken from the selected Git Repository.

Git Console

Opens a console page to use Git Commands.

Please Note:

  • The Repo Sync Project opens with a branch configured at the project level.

  • A Repo Sync Project contains other than .ipynb files under the Workspace tab.

Accessing the Workspace Tab for other Data Science Projects

  • Navigate to the Projects page.

  • Select an activated Project from the displayed list.

  • Click the View icon to open the project.

  • The Project opens displaying the Workspace tab.

    • The Repo, Utils, and Files default folders appear under the Workspace tab.

Please Note: If the selected project is a Repo Sync Project, it will only contain a Repo folder under the Workspace tab. Here, the Repo folder will support all file types. Three folders (Repo, Utils, and Files) will be available under the Workspace tab for a normal Data Science Lab project.

  • A Refresh icon is provided to refresh the data.

  • The users get two options to start with their data science exploration:

    1. Create - By Creating a new Notebook ​

    2. Import -By Importing a Notebook

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Last updated 10 months ago