RapidCanvas Docs
  • Welcome
  • GETTING STARTED
    • Quick start guide
    • Introduction to RapidCanvas
    • RapidCanvas Concepts
    • Accessing the platform
  • BASIC
    • Projects
      • Projects Overview
        • Creating a project
        • Reviewing the Projects listing page
        • Duplicating a Project
        • Modifying the project settings
        • Deleting Project(s)
        • Configuring global variables at the project level
        • Working on a project
        • Generating the about content for the project
        • Generating AI snippets for each node on the Canvas
        • Marking & Unmarking a Project as Favorite
      • Canvas overview
        • Shortcut options on canvas
        • Queuing the Recipes
        • Bulk Deletion of Canvas Nodes
        • AI Guide
      • Recipes
        • AI-assisted recipe
        • Rapid model recipe
        • Template recipe
        • Code Recipe
        • RAG Recipes
      • Scheduler overview
        • Creating a scheduler
        • Running the scheduler manually
        • Managing schedulers in a project
        • Viewing the schedulers in a project
        • Viewing the run history of a specific scheduler
        • Publishing the updated data pipeline to selected jobs from canvas
        • Fetching the latest data pipeline to a specific scheduler
        • Comparing the canvas of the scheduler with current canvas of the project
      • Predictions
        • Manual Prediction
        • Prediction Scheduler
      • Segments and Scenarios
      • DataApps
        • Model DataApp
        • Project Canvas Datasets
        • Custom Uploaded Datasets
        • SQL Sources
        • Documents and PDFs
        • Prediction Service
        • Scheduler
        • Import DataApp
    • Connectors
      • Importing dataset(s) from the local system
      • Importing Text Files from the Local System
      • Connectors overview
      • Connect to external connectors
        • Importing data from Google Cloud Storage (GCS)
        • Importing data from Amazon S3
        • Importing data from Azure Blob
        • Importing data from Mongo DB
        • Importing data from Snowflake
        • Importing data from MySQL
        • Importing data from Amazon Redshift
        • Importing data from Fivetran connectors
    • Workspaces
      • User roles and permissions
    • Artifacts & Models
      • Adding Artifacts at the Project Level
      • Adding Models at the Project Level
      • Creating an artifact at the workspace level
      • Managing artifacts at the workspace level
      • Managing Models at the Workspace Level
      • Prediction services
    • Environments Overview
      • Creating an environment
      • Editing the environment details
      • Deleting an environment
      • Monitoring the resource utilization in an environment
  • ADVANCED
    • Starter Guide
      • Quick Start
    • Setup and Installation
      • Installing and setting up the SDK
    • Helper Functions
    • Notebook Guide
      • Introduction
      • Create a template
      • Code Snippets
      • DataApps
      • Prediction Service
      • How to
        • How to Authenticate
        • Create a new project
        • Create a Custom Environment
        • Add a dataset
        • Add a recipe to the dataset
        • Manage cloud connection
        • Code recipes
        • Display a template on the UI
        • Create Global Variables
        • Scheduler
        • Create new scenarios
        • Create Template
        • Use a template in a flow notebook
      • Reference Implementations
        • DataApps
        • Artifacts
        • Connectors
        • Feature Store
        • ML model
        • ML Pipeline
        • Multiple Files
      • Sample Projects
        • Model build and predict
    • Rapid Rag
  • Additional Reading
    • Release Notes
      • May 14, 2025
      • April 21, 2025
      • April 01, 2025
      • Mar 18, 2025
      • Feb 27, 2025
      • Jan 27, 2025
      • Dec 26, 2024
      • Nov 26, 2024
      • Oct 24, 2024
      • Sep 11, 2024
        • Aug 08, 2024
      • Aug 29, 2024
      • July 18, 2024
      • July 03, 2024
      • June 19, 2024
      • May 30, 2024
      • May 15, 2024
      • April 17, 2024
      • Mar 28, 2024
      • Mar 20, 2024
      • Feb 28, 2024
      • Feb 19, 2024
      • Jan 30, 2024
      • Jan 16, 2024
      • Dec 12, 2023
      • Nov 07, 2023
      • Oct 25, 2023
      • Oct 01, 2024
    • Glossary
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On this page
  • New Features
  • Enhancements
  1. Additional Reading
  2. Release Notes

May 15, 2024

New Features

Following are the new features introduced in this release:

Introduced duplicate projects functionality You can now duplicate projects by copying the components of an existing project within the same or a different tenant.

Note that:

  • All the duplicate projects are created in the default environment.

  • Upon duplication, all components, including DataApps, prediction services, and environments, are copied. You can view all the DataApps and prediction services from the source project and select the ones you want to add to the duplicate project.

  • Upon importing components into the new project, they will initially be in an unbuilt state. For datasets imported via local files, you can use the 'Add file' option to upload the dataset. This option becomes visible when you right-click on the dataset block. Similarly, datasets imported through connectors can be reloaded. You can view this option by right-clicking the dataset block on the canvas.

  • When you run the duplicate project, all the components in the data pipeline will be assigned a new name.

  • Note that Fivetran connectors are not supported in the copy project feature.

Enhancements

The enhancements made to the existing functionalities include:

Support for SQL Based In house Connectors in dataset output sync and Project job destinations

  • MySQL, Redshift, Mongo are now available to be used as destinations for exporting outputs in canvas and in job runs

  • The Append and Replace options are now available in the destination side panel, exclusively visible for the MySQL connector and Redshift

  • Selecting the Append option appends the output dataset to the existing one if both share the same schema. Alternatively, choosing Replace replaces the old dataset with the new one.

  • The destination drop-down menu to display only the connectors you've configured, excluding Fivetran connectors and Snowflake.

  • For MongoDB, if the provided collection name already exists, the new dataset will be appended to the existing collection.

Design Improvements – Phase V

  • Implemented new theme changes for various platform components, including scenarios, segments, create dialogs in artifacts, cancel dialog screens, and add file dialogs.

  • Expect ongoing design enhancements across other modules in the coming weeks.

Rapid Model Recipe Enhancements

The following are the enhancements made to rapid model recipe:

  • The platform now auto-detects the problem type when the user selects the target column in the dataset.

  • The Binary Experimental problem type has been removed from the list. If you wish to utilize this option, you can enable the dynamic features toggle and provide the necessary business context.

  • Additionally, the Freeze Columns field has been added to the advanced output section, preventing the platform from dropping or manipulating the selected columns during the data pre-processing phase in the rapid model recipe.

Ask AI on Database

Users can now directly use AskAI functionality to query on the database and get appropriate responses.

Extended react app support for Multiclass classification

React app now handles machine learning models created involving multiclass classification problems.

Evergreen Checkbox in DataApps

Added an evergreen checkbox in the Configuration & Consumption side panel of DataApps, allowing users to keep DataApps running indefinitely or shut them down after a specified period.

Consolidated API Errors

Multiple API errors resulting from the same issue are now consolidated into a single error message, improving clarity and reducing redundancy on the UI.

Enhancements in Data View

The Data View now combines the schema and sample tabs, with data types displayed under each column for improved accessibility.

Users can now perform various actions on columns, such as hiding, sorting, and searching, enhancing data exploration capabilities. Please note that any of these actions you perform on the dataset will be reset once the page is refreshed or when the session ends.

DataApp AskAI Enhancements

Users can now collapse and expand text responses in AskAI, providing greater control over the display of results.

File Upload Progress Bar Colour Change

The progress bar colour in the File Upload page of Prediction jobs now changes to violet to align with the rest of the UI theme, offering clearer visual feedback during file uploads.

PreviousMay 30, 2024NextApril 17, 2024

Last updated 3 months ago