Welcome to Gordo’ documentation!

Overview

Gordo is a collection of tools to create a distributed ML service represented by a specific pipeline. Generally, any sklearn.pipeline.Pipeline object can be defined within a config file and deployed as a REST API on Kubernetes.

Project Resources:

• Quick start
• Architecture
• Endpoints
  • Project index page
  • Machine Learning Server Routes
    • /
    • /prediction/
    • /anomaly/prediction/
    • /download-model/
    • /metadata/

Components:

• Machine
  • Descriptors
  • Models
    • Base Model
    • Custom Gordo models
      • Model factories
      • Transformer Functions
      • Transformers
      • Anomaly Models
    • Utils
  • Metadata
• Builder
  • Model builder
  • Local Model builder
• Serializer
  • From Definition
  • Into Definitiion
• ML Server
  • Server
  • Views
    • Base
    • Anomaly
  • Utils
  • Model IO
• CLI
  • gordo CLI
    • gordo
      • build
      • run-server
      • workflow
• Workflow
  • Normalized Config
  • Workflow Generator
  • Helpers
• Util
  • Disk Registry
  • Utils

Indices and tables

• Index

• Module Index

• Search Page