Data Science Lab
  • What is Data Science Lab?
  • Accessing the Data Science Lab Module
  • Data Science Lab Quick Start Flow
  • Project
    • Environments
    • Creating a Project
    • Project List
      • Keep Multiple Versions of a Project
      • Sharing a Project
      • Editing a Project
      • Activating a Project
      • Deactivating a Project
      • Deleting a Project
    • Tabs for a Data Science Lab Project
      • Tabs for TensorFlow and PyTorch Environment
        • Notebook
          • Ways to Access Notebook
            • Creating a Notebook
            • Uploading a Notebook
          • Notebook Page
            • Preview Notebook
            • Notebook Cells
              • Using a Code Cell
              • Using a Markdown Cell
            • Modifying a Notebook
            • Resource Utilization Graph
            • Notebook Taskbar
            • Notebook Operations
              • Datasets
                • Copy Path (for Sandbox files)
              • Secrets
              • Algorithms
              • Transforms
              • Models
                • Model Explainer
                • Registering & Unregistering a Model
                • Applying Filter
              • Predict
              • Artifacts
              • Variable Explorer
              • Find and Replace
          • Notebook List Page
            • Export
              • Export to Pipeline
              • Export to GIT
            • Notebook Version Control
            • Sharing a Notebook
            • Editing a Notebook
            • Deleting a Notebook
        • Dataset
          • Adding Data Sets
            • Data Sets
            • Data Sandbox
          • Dataset List Page
            • Preview
            • Data Profile
            • Create Experiment
            • Data Preparation
            • Delete
        • Utility
        • Model
          • Model Explainer
          • Import Model
          • Export to GIT
          • 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
          • AutoML Models
        • Auto ML
          • Creating Experiments
            • Accessing the Create Experiment Option
              • Configure
              • Select Experiment Type
          • AutoML List Page
            • View Report
              • Details
              • Models
                • View Explanation
                  • Model Summary
                  • Model Interpretation
                    • Classification Model Explainer
                    • Regression Model Explainer
                  • Dataset Explainer
            • Delete
      • Tabs for PySpark Environment
        • Notebook
          • Ways to Access Notebook
            • Creating a Notebook
            • Uploading a Notebook
          • Notebook Page
            • Preview Notebook
            • Notebook Cells
              • Using a Code Cell
              • Using a Markdown Cell
            • Modifying a Notebook
            • Resource Utilization Graph
            • Notebook Taskbar
            • Notebook Operations
              • Datasets
                • Copy Path (for Sandbox files)
              • Secrets
              • Variable Explorer
              • Find and Replace
          • Notebook List Page
            • Export
              • Export to Pipeline
              • Export to GIT
            • Notebook Version Control
            • Sharing a Notebook
            • Editing a Notebook
            • Deleting a Notebook
        • Dataset
          • Adding Data Sets
          • Dataset List Page
            • Preview
            • Data Profile
            • Data Preparation
            • Delete
        • Utility
Powered by GitBook
On this page
  • Pushing a Project to the VCS
  • Pulling a Project from the VCS
  1. Project
  2. Project List

Keep Multiple Versions of a Project

You can easily maintain multiple versions of the DSL Project through this option.

PreviousProject ListNextSharing a Project

Last updated 1 year ago

Pre-requisite: Make sure that the Version control settings for the DSL plugin are configured by your administrator before you use this functionality.

Watch the walk-through videos given below to understand the Push to VCS and Pull from VCS functionality for a DSL Project.

Pushing a DSL Project to the VCS
Pulling a DSL Project from the VCS

Pushing a Project to the VCS

  • Navigate to the Projects page of the DS Lab plugin.

  • Select an activated project.

  • Click the Push into VCS icon for the project.

  • The Push into Version Controlling System dialog box appears.

  • Provide a Commit Message.

  • Click the Push option.

  • The DSL Project version gets pushed into the Version Controlling System, a notification message appears to inform the same.

Pulling a Project from the VCS

  • Navigate to the Projects page of the DS Lab plugin.

  • Select an activated project.

  • Click the Pull from VCS icon for the project.

  • The Pull from Version Controlling System dialog box opens.

  • Select the version that you wish to pull by using the checkbox.

  • Click the Pull option.

  • The pulled version of the selected Project gets updated in the Project list.

  • A notification message appears to inform the same.

Please Note:

  • The Push to VCS and Pull from VCS functionalities will not be enabled for a deactivated Project.​

Push to VCS option for a Project
Push into Version Controlling System dialog box
Notification message after a DSL Project gets pushed into VCS
Pull from VCS option for the Project
Pull from Version Controlling System dialog box
Confirmation message after the Project gets pulled from the VCS

Refer the Data Science Lab Quick Start Flow page to get an overview of the Data Science Lab module in nutshell. to get redirected to the quick start flow page.

Click here