Overview

Credit Default 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

Note

For a deeper introduction to FeatureByte’s Approval Flow and version control, checkout out the Grocery UI Tutorial "Manage Feature Life Cycle".

Dataset Overview

In this tutorial, we'll use the Credit Default Dataset, which contains transactional data from related to credit default prediction. It consists of six tables:

• NEW_APPLICATION: Records new loan applications.
• PRIOR_APPLICATION: Contains data on prior loan applications.
• CONSUMER_LOAN_STATUS: Tracks consumer loans status.
• CONSUMER_INSTALLMENTS: Logs monthly installments for consumer loans at the time of payment.
• CASH_LAON_STATUS: Tracks cash loans status.
• CASH_INSTALLMENTS: Logs monthly installments for cash loans at the time of payment.

The tutorials cover the first four tables, while the last two (Cash_loan_status and Cash_installments) are left for you to explore.

Note

If you are interested in a use case that exploits item table, checkout out the Grocery UI Tutorials.

Tutorial Structure

This tutorial follows a structured, end-to-end workflow:

1. Create Catalog

Define the Data Model of the catalog

2. Register Tables

3. Register Entities

4. Set Default Cleaning Operations

5. Update Descriptions and Tag Semantics

Formulate your use case

6. Formulate Use Case

7. Create Observation Tables

Ideate features

8. Ideate Features

8b. Refine Ideation

Compute training data for your use case

9. Create New Feature List

10. Compute Feature Table

Deploy features

11. Deploy and Serve a Feature List

Note

For a deeper introduction to FeatureByte’s Approval Flow and version control, checkout out the Grocery UI Tutorials.