Overview
Grocery Dataset User Interface Tutorials¶
Welcome to the FeatureByte Enterprise User Interface!
Our UI platform offers a user-friendly, no-code interface that builds on the strong foundation of our SDK.
Beyond core SDK functionalities, FeatureByte UI introduces powerful tools that enhance your feature engineering workflow, including:
- Feature Ideation for guided features discovery,
- a Self-Organized Catalog for seamless feature reuse,
- and a structured, Governed Approval Flow for effective feature management.
What You'll Learn¶
This tutorial series walks you through the entire process, step by step. You’ll learn how to:
- Create a catalog.
- Define your data model.
- Structure your use cases.
- Use Feature Ideation to generate relevant features.
- Build feature lists
- Compute training data
- Manage feature deployment
- Navigate FeatureByte’s Approval Flow and version control.
Dataset Overview¶
In this tutorial, we'll use the Grocery Dataset, which contains transactional data from a grocery store chain. It consists of four tables:
- GroceryCustomer: Contains customer details, including name, address, and date of birth.
- GroceryInvoice: Stores invoice details, including timestamp and total amounts.
- InvoiceItems Lists items in each invoice, including quantity, total cost, applied discounts, and product IDs.
- GroceryProduct: Provides product group descriptions for grocery items.
Note
If you are interested in a use case that exploits time series, checkout out the Credit Default UI Tutorials.
Tutorial Structure¶
This tutorial follows a structured, end-to-end workflow:
Define the Data Model of the catalog¶
4. Set Default Cleaning Operations
5. Update Descriptions and Tag Semantics
Formulate your use case¶
Ideate features¶
8b. Refine Ideation