Kumo Documentation
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.
Workflow
Connect your data
Set up a connection with your cloud data platform to grant Kumo access to your data. Or, upload files directly.
Create tables and graph schema
Select training tables and connect them to create a graphical schema.
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.
Run models
Run batch jobs to get embeddings or predictions on the latest data.
Resources
Kumo Documentation
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.
Workflow
Connect your data
Set up a connection with your cloud data platform to grant Kumo access to your data. Or, upload files directly.
Create tables and graph schema
Select training tables and connect them to create a graphical schema.
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.
Run models
Run batch jobs to get embeddings or predictions on the latest data.