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
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On this page
  • Exporting a DSL Script to GIT
  • Importing a DSL Script from GIT
  1. Project
  2. Tabs for a Data Science Lab Project
  3. Tabs for PySpark Environment
  4. Notebook
  5. Notebook List Page
  6. Export

Export to GIT

A Notebook script can be migrated across the space and server by using the GIT migration option.

PreviousExport to PipelineNextNotebook Version Control

Last updated 1 year ago

Prerequisite:

  1. It is required to set configuration for the DS Lab Migration using the Version Control option from the Admin module before migrating a DS Lab script or model.

  2. A Data Science Lab notebook has to be exported into Data pipeline before Exporting it into GIT (This will enable the Export to GIT option in the UI).

Check out the walk-through on how to migrate/ export a Notebook script to the GIT Repository.

Migrating a Notebook Script to GIT Repository

Exporting a DSL Script to GIT

  • Navigate to the Notebook list.

  • Click the Export icon for a Notebook.

  • The Export to Pipeline/ GIT dialog box options.

  • Select the Export to GIT option.

  • Provide a Commit Message in the given space.

  • Click the Export option.

  • A notification message appears, and the selected Script gets migrated to GIT repository.

Importing a DSL Script from GIT

After exporting a DSL script, you can Sign-in to another user account on different space or server and import the DSL script by using the below-given set of steps.

  • Click the Admin module from the Apps menu. ​

  • Select the GIT Migration option from the admin menu panel.

  • Click the Import File option. ​

  • The Import Document page opens, click the Import option.

  • The Migration- Document Import page opens.

  • Select New VCS as Version Control Configuration.

  • Select the DSLab option from the module drop-down menu.

  • Select Notebook option from the left side panel.

  • All the migrated Notebooks get listed.

  • Select a Notebook from the displayed list to open the available versions of the that Notebook.

  • Select a Version that you wish to import.

  • Click the Migrate the option.

  • The Data Connector Details dialog box opens.

  • Choose one connector from the Existing Connectors or Create a New Connector.

  • Click the Save option.

  • A notification message appears informing that the file has been migrated.

Please Note:

  • The user can migrate only the exported scripts (the exported scripts to the Data Pipeline).

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