User Interface

FeatureByte streamlines the entire feature and model lifecycle through an intuitive interface, organized into eight key sections that guide you from data exploration to production deployment.

Explore

Kickstart your feature engineering by discovering and registering source tables.

Add metadata to your tables, apply cleaning operations if needed, understand column semantics, and map them to the ontology to ensure consistent, effective feature engineering.

If you only need a subset of data, register them through managed views.

Formulate

Define your Use Case and build Observation Tables that form the foundation for model learning. For XXL datasets, create a Development Dataset to accelerate Ideation and exploratory analysis.

Ideate

Use Ideation to automatically generate features and model ideas tailored to your use case.

FeatureByte intelligently proposes meaningful transformations, aggregations and model candidates that maximize predictive power, while you refine and validate them interactively.

Experiment

Refine Feature Lists using the Self-Organized Feature Catalog and models' Feature Importance.

Build Machine Learning Models directly from Feature Lists using customizable Model Templates that encapsulate preprocessing and estimators (e.g., LGBM, XGBoost).

Compare and rank models evaluated on shared validation or holdout datasets via the Leaderboard. Quickly identify top-performing candidates, view key metrics, and select the best model for deployment.

Approve

Submit updates to table metadata, features, and models for review. Ensure alignment with data changes and maintain integrity before promoting features and models into production.

Manage

Monitor your deployed Features and Models. Stay in control with version tracking and deployment status dashboards.

Security

Manage credentials securely and efficiently within the platform.

Admin

Implement role-based access controls, ensuring secure and appropriate access across your team.

Learn by Example

Discover FeatureByte's interface with our step-by-step Credit Default UI tutorials. Learn how to create a catalog, define your data model, and articulate your use cases. See how Ideation automatically suggests features and models tailored to those cases. You’ll also explore building custom feature lists, training models, managing deployments, and navigating version control to handle changes in source table availability and quality.