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
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        • AI-assisted recipe
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      • 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
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      • Segments and Scenarios
      • DataApps
        • Model DataApp
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        • Custom Uploaded Datasets
        • SQL Sources
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        • Prediction Service
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    • 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
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      • 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
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        • Aug 08, 2024
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      • April 17, 2024
      • Mar 28, 2024
      • Mar 20, 2024
      • Feb 28, 2024
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      • 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
  • Prediction Job
  • Ask AI on DataApp
  • Other Enhancements
  • Refresh Icon Added for Prediction Service:
  • Reload Option Added for Datasets Created via Data Connectors:
  • Upgraded and Enhanced UX for Jobs, DataApp, and Connectors modules
  • Added Alerts for Data Analysis Chart Generation and DataApp Launch:
  • Introducing Ask AI System Message in Project Settings:
  • Custom Image Support in Projects:
  • Grouping of Charts within Diamond of Rapid Model Recipe Output:
  1. Additional Reading
  2. Release Notes

Mar 20, 2024

New Features

Following are the new features introduced in this release:

Prediction Job

This new feature empowers users to execute prediction jobs across four problem types: binary classification, binary experimental, regression, and multiclass classification. Instead of directly utilizing existing models, this feature executes data pre-processing and feature engineering steps on uploaded datasets, ensuring data refinement before feeding the dataset into the trained model.

Ask AI on DataApp

A new Ask AI tab has been introduced in DataApps tailored for binary classification problem types. This new feature provides users with AI-assisted functionalities similar to the AI-assisted recipe. With this enhancement, users can interact with Ask AI to generate visualizations and perform data transformation operations on the prediction dataset seamlessly.

Other Enhancements

Refresh Icon Added for Prediction Service:

We've introduced a "Refresh" button on the Prediction Service page, empowering users to effortlessly update and access the latest model files. This feature ensures seamless retrieval of the most recent trained model whenever users need to employ the endpoint for making predictions on new datasets.

Reload Option Added for Datasets Created via Data Connectors:

A "Reload" button has been incorporated into the Dataset side drawer panel within the canvas, as well as in the view dataset page under the plus icon. This addition grants users the capability to fetch fresh data from the source and synchronise datasets with remote storage, facilitating access to the latest data.

Upgraded and Enhanced UX for Jobs, DataApp, and Connectors modules

This includes a redesigned color palette, refined button styling, and improved usability. Users can anticipate ongoing UX enhancements across other modules in the upcoming weeks.

Added Alerts for Data Analysis Chart Generation and DataApp Launch:

We've implemented new notification alerts for DataApps and Data analysis charts, offering users real-time updates on the success or failure of DataApp launches and Data analysis chart generation. These alerts enhance user awareness and streamline troubleshooting processes.

Introducing Ask AI System Message in Project Settings:

The inclusion of the AI system message field in Project Settings empowers users to provide input for Ask AI queries throughout the project. This enhancement enriches the AI-driven functionality of the platform, allowing users to tailor their interactions with Ask AI.

Custom Image Support in Projects:

Users now have the ability to upload images from their local drives to be displayed on project cards, in addition to utilising default images. This enhancement enables users to personalise project card images according to their preferences, enhancing project visibility and customisation options.

Grouping of Charts within Diamond of Rapid Model Recipe Output:

The chart output of the rapid model recipe has been restructured to be grouped into different tabs, facilitating easy comprehension for both business and advanced users. This refinement enhances the organisation and clarity of chart outputs within the Diamond of Rapid Model Recipe Output.

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Last updated 3 months ago