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
  • Saving Artifacts
  • Save Plot as 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.

PreviousPredictNextVariable Explorer

Last updated 2 years ago

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

Saving Artifacts in a Notebook

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

Saving Artifacts

  • Add a new cell.

  • Click the Save Artifacts.

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

  • Execute the cell.

  • The Artifacts get saved.

Please Note: The saved Artifacts can be downloaded as well.

Save Plot as Artifacts

  • Navigate to a notebook.

  • Define the save statement in the code cell for the plot you want to save as artifacts.

  • Execute the cell.

  • Refresh the Artifacts tab.

  • The plot will get saved under the Artifacts space as .png file.

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Please Note: 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.

Saved Artifacts inside a Notebook
Saving a plot as Artifacts
The Artifacts get saved
Downloaded Artifacts Plot files

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Click the vertical ellipsis icon for the Artifact.

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