ZenML Docs

Introduction

Getting Started

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

Benefits

Extensibility
Reproducibility
Metadata Tracking
Caching

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]
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 pipeline on Google Cloud VM
Running a pipeline on Kubernetes
Team collaboration with ZenML and Google Cloud
Style Transfer using a CycleGAN
Classification with 59M samples
Training with GPUs on the Cloud
Deploying a model to GCP

Misc

Roadmap
Changelogs
Usage Analytics

Support

Contact
FAQ

Reference

Module core

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Contents

Sub-modules

Module core.steps.deployer¶

Sub-modules¶

core.steps.deployer.base_deployer
core.steps.deployer.gcaip_deployer

Module core.steps.trainer.pytorch_trainers Module core.steps.deployer.base_deployer

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