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
      • View
      • 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
            • Create
            • Import
              • Importing a Notebook
              • Pull from Git
          • Notebook Page
            • Preview Notebook
            • Notebook Cells
              • Using a Code Cell
              • Using a Markdown Cell
              • Using an Assist Cell
            • Renaming a Notebook
            • Resource Utilization Graph
            • Notebook Taskbar
            • Notebook Operations
              • Datasets
                • Copy Path (for Sandbox files)
              • Secrets
              • Algorithms
              • Transforms
              • Utility Notebook Operation
              • Models
                • Model Explainer
                • Registering & Unregistering a Model
                • Model Filter
              • Artifacts
              • Files
              • Variable Explorer
              • Writers
              • Find and Replace
            • Notebook Actions
          • Notebook List
            • Notebook List Actions
              • Export
                • Export to Pipeline
                • Export to GIT
              • Register as Job
              • Notebook Version Control
              • Sharing 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
          • Pull from Git (Utility)
        • Model
          • Model Explainer
          • Share a Model
          • 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 AutoML Experiments
            • Creating an Experiment
          • AutoML List Page
            • View Report
              • Details
              • Models
                • View Explanation
                  • Model Summary
                  • Model Interpretation
                    • Classification Model Explainer
                    • Regression Model Explainer
                    • Forecasting Model Explainer
                  • Dataset Explainer
            • Delete
      • Tabs for PySpark Environment
        • Notebook
          • Ways to Access Notebook
            • Create
            • Import
              • Importing a Notebook
          • Notebook Page
            • Preview Notebook
            • Notebook Cells
              • Using a Code Cell
              • Using a Markdown Cell
              • Using an Assist Cell
            • Renaming a Notebook
            • Resource Utilization Graph
            • Notebook Taskbar
            • Notebook Operations
              • Datasets
                • Copy Path (for Sandbox files)
              • Secrets
              • Utility
              • Files
              • Variable Explorer
              • Writers
              • Find and Replace
            • Notebook Actions
          • Notebook List
            • Notebook List Actions
              • Export
                • Export to Pipeline
                • Export to GIT
              • Register as Job
              • Notebook Version Control
              • Sharing a Notebook
              • Deleting a Notebook
        • Dataset
          • Adding Data Sets
            • Data Sets
            • Data Sandbox
          • Dataset List Page
            • Preview
            • Data Profile
            • Data Preparation
            • Delete
        • Utility
  • Repo Sync Project
    • Environments
    • Creating a Repo Sync Project
    • Project List
      • View
      • Project Migration
      • 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
          • Accessing the Notebook Tab
          • Adding a Folder or File
          • Notebook Page
            • Preview File
            • .ipynb Cells
              • Using a Code Cell
              • Using a Markdown Cell
              • Using an Assist Cell
            • Resource Utilization Graph
            • Notebook Taskbar
            • Operations for an .ipynb File
              • Datasets
                • Copy Path (for Sandbox files)
              • Secrets
              • Algorithms
              • Transforms
              • Models
                • Model Explainer
                • Registering & Unregistering a Model
                • Model Filter
              • Files
              • Variable Explorer
              • Writers
              • Find and Replace
            • Actions Icons for .ipynb File
          • File Options
            • Export
            • Register
            • Delete
          • Git Console
        • Dataset
          • Adding Data Sets
            • Data Sets
            • Data Sandbox
          • Dataset List Page
            • Preview
            • Data Profile
            • Create Experiment
            • Data Preparation
            • Delete
        • Model
          • Import Model
          • Model Explainer
          • Share a 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 AutoML Experiments
            • Creating an Experiment
          • AutoML List Page
            • Experiment Status
            • Actions
              • View Report
                • Details
                • Models
                  • View Explanation
                    • Model Summary
                    • Model Interpretation
                      • Classification Model Explainer
                      • Regression Model Explainer
                      • Forecasting Model Explainer
                    • Dataset Explainer
              • Delete
      • Tabs for PySpark Environment
        • Notebook
          • Accessing the Notebook Tab
          • Adding a Folder or File
          • Notebook Page
            • Preview a File
            • Cells for .ipynb Files
              • Using a Code Cell
              • Using a Markdown Cell
              • Using an Assist Cell
            • Resource Utilization Graph
            • Notebook Taskbar
            • Operations for an .ipynb File
              • Datasets
                • Copy Path (for Sandbox files)
              • Secrets
              • Files
              • Variable Explorer
              • Writers
              • Find and Replace
            • Actions for .ipynb Files
            • File Options
              • Export
              • Register
              • Delete
            • Git Console
        • Dataset
          • Adding Data Sets
            • Data Sets
            • Data Sandbox
          • Dataset List Page
            • Preview
            • Data Profile
            • Data Preparation
            • Delete
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On this page
  • Saving Artifacts
  • Preview Artifacts
  1. Project
  2. Tabs for a Data Science Lab Project
  3. Tabs for TensorFlow and PyTorch Environment
  4. Notebook
  5. Notebook Page
  6. Notebook Operations

Artifacts

This page explains how to save Artifacts. Save plots and datasets inside Notebook as Artifacts.

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Last updated 1 year ago

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

Please Note: The user can save the artifacts of a predicted model using this option.

Saving Artifacts

  • Navigate to a Notebook.

  • Add a new cell.

  • Provide Data set.

  • Define DataFrame and execute the cell.

  • A new cell 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 on the Notebook page.

  • Select a saved Artifact from the list.

  • Click the Preview option from the context menu.

  • The Artifact Preview gets displayed.

Please Note:

  • By clicking the Delete option, the selected Artifact gets deleted from the list.

Click the vertical ellipsis icon for the saved Artifact.

Refer the page to get an overview of the Data Science Lab module in nutshell.

Data Science Lab Quick Start Flow
Saved Artifacts inside a Notebook
Saving Artifacts in a Notebook