User Interface

FeatureByte simplifies the feature lifecycle with an intuitive interface, organized into eight sections:

Explore

Kickstart your feature engineering by discovering and registering source tables. Add metadata to tables, understand column semantics, and map them to the ontology to ensure consistent, effective feature engineering. If you only need a subset of rows or columns, register them through managed views.

Formulate

Define your use case. If you're working with XL data, create a development dataset tailored to that use case to accelerate feature ideation and EDA.

Ideate

Use Feature Ideation to automatically generate feature ideas and feature lists tailored to your specific use case.

Experiment

Refine feature lists using our Self-Organized Feature Catalog. Get suggestions for feature list enhancements and generate training data for your Machine Learning models. Deploy successful feature lists in a minute.

Approve

Submit changes in table metadata and features for review, ensuring alignment with data changes and maintaining the integrity of features pushed into production.

Manage

Monitor your deployments, keeping abreast of their performance and features status.

Security

Manage credentials securely and effectively 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 and Grocery UI tutorials. You'll learn how to create a catalog, define your data model, and articulate your use cases. You'll discover how Feature Ideation can automatically suggest features to fit these cases. We'll also cover building custom feature lists, computing training data, managing feature deployment, and navigating version control to address changes in source table availability and quality.