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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Settings

This page helps the user to access and modify the default settings for the DSL Project.

PreviousRegistered Models and APIsNextTrash

Check out the given illustration on how to access and save modifications for the Project default settings.

  • Navigate to the Home page of Data Science Lab module.

  • The Settings icon appears in the left side menu panel. Click the Settings option.

  • Click the Default Settings page opens displaying the default settings.

  • The user can modify the following details:

    • Algorithms: The user can select or deselect algorithms from the given drop-down menu. The provided choices are Regression, Classification, Forecasting, Unsupervised, Natural Language Processing.

    • Environment: The user can select an Environment option from the given choices. The provided choices are Python TensorFlow, Python PyTorch, PySpark.

    • Resource Allocation: The user can select a Resource Allocation option from the given choices. The provided choices are low, medium, and high.

    • Idle Shutdown: The user can select a time limit option for idle shutdown. The provided time limit options are 30m, 1h, and 2h.

  • Click the Save option.

  • A notification message appears and the modified default settings will be saved.

Accessing and Modifying the Default Project Settings
Modifying the Default Project Settings