Tutorial

Introduction

The Kumo predictive query is a declarative syntax for describing a machine learning task. Predictive Queries are written using the Predictive Query Language (PQL), a concise SQL-like syntax that allows you to define a model for a new business problem. Once a Predictive Query is saved, the Kumo platform compiles it into a training plan, which is used to train your model.

In this tutorial, you'll learn the basics for writing an effective predictive query to power your enterprise predictions.

• Predictive Query Structure
• Task Types
• Static vs Temporal Predictive Queries
• Commands and Operators
• Putting It All Together
• What's Next?

You can also take a look at various examples here