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
        • Repo Folder Attributes for a Repo Sync Project
        • 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
      • Adjustable Repository Panel
    • Data
      • Adding Data
      • Data List Page
    • Model
      • Import Model
      • Explainer Generator
      • Export to GIT/ Model Migration
      • Share a Model
      • Register a Model
      • Unregister a Model
      • Register a Model as an API Service
      • Delete a 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
        • Expanding and Collapsing Markdown Cell
      • Using an Assist Cell
    • Resource Utilization Graph
    • Taskbar
    • Actions Icons from Header
    • Notebook Actions
      • Register
        • Export
        • Register as a Job
      • Notebook Version Control
      • Share
      • Delete
      • Information
  • Model Creation using Data Science Notebook
  • Notebook Operations
    • Data
      • Reading Data
      • Copy Path Functionality
    • Secrets
    • Algorithms
    • Transforms
    • Artifacts
    • Variable Explorer
    • Writers
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  • Saving Artifacts
  • Preview Artifacts
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  1. Notebook Operations

Artifacts

This page explains how to save Artifacts. Users can save plots and datasets inside a DS Notebook as Artifacts.

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Check out the walk-through on how to Save Artifacts.

Saving Artifacts

  • Navigate to a Data Science Notebook.

  • Add a new cell.

  • Provide Data set.

  • Define DataFrame and execute the cell.

  • A new cell will be added below.

  • Click the Ellipsis icon to access more options.

  • Select the Save Artifacts option.

  • Give proper DataFrame name and Name of Artifacts (with extensions - .csv/.txt/.json)

  • Execute the cell.

  • The Artifacts get saved under the Artifacts tab.

Please Note:

  • The saved Artifacts can be downloaded as well.

  • The user can also get an instant visual depiction of the data based on their executed scripts.​​​

Preview Artifacts

  • Navigate to the Artifacts tab inside a DS Notebook page.

  • Select a saved Artifact from the right side panel.

  • Click the Preview option from the context menu.

  • The Artifact Preview gets displayed.

Please Note:

  • The selected Artifact gets deleted from the list by clicking the Delete option.

Click the vertical ellipsis icon for the saved Artifact.

Saving Artifacts using a DS Notebook