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Xorq documentation

Write your ML pipelines once. Run them anywhere. Xorq handles caching, lineage, and multi-engine execution automatically.

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Getting started

New to Xorq? Start here to build your first pipeline.

Cache expression results

Speed up workflows with automatic caching

Defer query execution

Master deferred execution

Install Xorq

Get Xorq running on your machine

Introduction

Learn what Xorq is and why it exists

Quickstart

Get a first taste of Xorq

Switch between backends

Run expressions on any backend

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ML tutorials

Train models, split data, and deploy predictions with Xorq’s ML workflow.

Compare model performance

Compare models systematically

Split data for training

Split data properly

Train your first model

Start your ML journey

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Explore the docs

Concepts

Deep dives into deferred execution, caching, and architecture

CLI reference

Every command you need to build, run, and serve pipelines

Python API

Full reference for Xorq’s Python API

 

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