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
Powered by GitBook
On this page
  • What is a Project?
  • Creating a new Project
  • Steps to create a new DSL Project
  1. Create

Create Project

This page explains project creation steps for a Data Science Lab Project.

PreviousCreateNextContainer Status Message

Last updated 4 months ago

What is a Project?

A Data Science Project created inside the Data Science Lab is like a Workspace inside which the user can create and store multiple data science experiments and their associated artifacts.

Creating a new Project

Check out the given illustration on how to create a DSL Project.

Pre-requisite: The users must have the following Admin-level settings configured to access and use the Repo Syncs Project functionality inside the DS Lab module.

  • Configuring the DS Lab Settings option is mandatory before beginning with the Data Science Project creation.

  • Also, select the Algorithms by using the Algorithms field from the DS Lab Settings section you wish to use for your DS Lab project.

    • The token key has to be configured for the DS Lab module.

    • The repository and branch have to be specified to save the settings.

    • Token key – bdbvcstoken

    • User id key - bdbvcsuserid

  • The user must do the following User-level configuration to create a Repo Sync DS Lab project.

Steps to create a new DSL Project

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

  • Click the Create icon from the homepage.

  • The Create Project or Feature Store drawer opens.

  • Click the Create option provided for the Project.

  • The Create Project opens to provide the related information for a new Project.

  • Provide the following details for a new project:

    • Project Name: Give a name to the new project.

    • Project Description: Describe the project.

    • Select Algorithms: Select algorithms using the drop-down menu.

    • Environment: Allows users to select the environment they want to work in. Currently, supported environments are Python TensorFlow, Python PyTorch, and PySpak.

      • Users who select the TensorFlow environment do not need to install packages like the TensorFlow and Keras explicitly in the notebook. These packages can be imported inside the notebook.

      • Users who select the PyTorch environment do not need to install packages like Torch and Torchvision in the notebook. These packages can be imported inside the notebook.

    • Resource Allocation: This allows the users to allocate CPU/ GPU and memory to be used by the Notebook container inside a given project. The currently supported Resource Allocation options are Low, Medium, and High.

    • Idle Shutdown: It allows the users to specify the idle time limit after which the notebook session will get disconnected, and the project will be deactivated. To use the notebook again, the project should be activated. The supported Idle Shutdown options are 30m, 1h, and 2h.

    • External Libraries: Mention the names of external libraries (mention the library name with the version number if a specific version is required) that must be installed in your DSL project /notebook. The names of the external libraries should be separated only by commas (without space) for this field. This is an optional field.

  • After you fill in the mandatory fields the following modifiable fields appear with pre-selected values:

    • Image Name

    • Image Version

    • Limit

    • Memory

    • Request (CPU)

    • Memory

    • Git Project: Select a project from the drop-down menu.

    • Git Branch: Select a branch option from the drop-down menu (The supported branches are main, migration, and version).

  • GPU Type: Select GPU type from the drop-down menu (Currently we support Nvidia as the GPU Type).

    • GPU Limit: Set the GPU limit using this field (This field appears only after the GPU Type option is selected).

  • Sync git repo at project creation: Put a checkmark in the given checkbox to avail of sync git repo while creating a DS Lab project.

Please Note:

  • Click the Save option.

  • The confirmation message appears.

  • The newly created project gets saved, and it appears on the screen.

The user must have the following settings done.

The user must complete the following :

You can enable the Sync git repo at the project creation option to make your DSL Project a Git Repo Sync Project. The Repo Sync Projects will be displayed in the Project list with a branch icon in their title.

You can configure the Git access for a normal Data Science Lab project by configuring the Git Repository and Git Branch fields while creating a new project. Such projects will display the branch icon without the drop-down option while opening that project. For example,

Version Control
Custom Field Settings
Git Token
Git Username
The Create Project Drawer
The newly created Project gets added at the top of the Projects list
Creating a Project
Creating a Repo Sync Project