Kumo lets data scientists and engineers build AI models for predictions and embeddings directly from relational data, without the time-consuming pain of feature engineering.Kumo offers flexibility in how you interact with its advanced machine learning platform, providing both an intuitive web console for seamless, user-friendly access and a fully composable Python SDK for integration in your production workflows.
Set up a connection with your cloud data platform to grant Kumo access to your data. Or, upload files directly.
2
Create tables and graph schema
Select training tables and connect them to create a graphical schema.
3
Train a model
Define your predictive task using Kumo’s simple and intuitive Predictive Query Language, and let Kumo automatically train and optimize the model for your data.
4
Run models
Run batch jobs to get embeddings or predictions on the latest data.