Tutorial - Kumo.ai

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

What’s Next

Examples
Table of Contents
- Introduction

FAQ

​Introduction

Introduction