ZenML Docs

Introduction

Getting Started

Installation
Quickstart
Core Concepts
Architectural Overview
Organizing ML Code with ZenML
Creating custom logic

Repository

What is a ZenML Repository
The ZenML Repository Instance
Integration with Git
Metadata Store
Artifact Store
Pipeline Directory
Team Collaboration

Datasources

What is a datasource
Google Bigquery
Images
CSV files

Pipelines

What is a pipeline?
Training
Data [WIP]
Batch Inference [WIP]
Caching
Scheduling Jobs

Steps

What is a step?
Split
- Custom Split
Preprocess
Trainer
Evaluator
Deployer

Backends

What is a backend?
Orchestrator Backends
Processing Backends
Training Backends
Using Docker

Tutorials

Creating your first pipeline
Running a training pipeline on a Google Cloud VM
Team collaboration with ZenML and Google Cloud
Style Transfer using a CycleGAN
Classification with 59M samples
Training with GPUs on the Cloud
Ensuring ML reproducibility with ZenML
Deploying a model to the cloud

Misc

Roadmap
Changelogs
Usage Analytics

Support

Contact
FAQ

Reference

Module core

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Training Backends¶

Defines the training.

Processing Backends Using Docker

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