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
          • Notebook Actions
            • Export
            • Register as Job
            • Notebook Version Control
            • Share
            • Delete
            • Information
        • Repo Folder Attributes for a Repo Sync Project
          • File Attributives
        • 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
    • Data
      • Adding Data
      • Data List Page
    • Model
      • Import Model
      • Explainer Generator
      • Export to GIT/ Model Migration
      • Model Explainer
      • Share a Model
      • 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
      • Delete 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
      • Using an Assist Cell
    • Resource Utilization Graph
    • Taskbar
    • Actions Icons
  • Model Creation using Data Science Notebook
  • Notebook Operations
    • 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

Last updated 8 months ago

Check out the illustration on accessing the default settings for a DS Project and saving modifications for the same.

  • Navigate to the Home page of the 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.

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