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Getting Started

  • Simple Model Serving
  • Advanced Custom Serving

Workflow

  • Install
  • Wrap your model
  • Create your inference graph
  • Deploy your model
  • Test your model
  • Serve requests
  • Troubleshooting guide
  • Usage reporting
  • Upgrading

Servers

  • Inference Servers Overview
  • MLflow Server
  • SKLearn server
  • Tensorflow Serving
  • XGBoost server

Wrappers

  • Python Models
  • Java Models
  • R Models
  • NodeJS Models
  • Custom Metrics
  • Logging & Log Level

Inference Graphs

  • Distributed Tracing
  • Annotation-based Configuration
  • Private Docker Registry
  • Service Orchestrator

Ingress

  • Ambassador Ingress
  • Istio Ingress
  • Seldon OAuth Gateway

Deployment Options

  • Helm Charts
  • Grafana Analytics
  • Elastic Stack Logging
  • Autoscaling

ML Compliance and Governance

  • Model Explanations
  • Outlier Detection
  • Routers (incl. Multi Armed Bandits)

Examples

  • Notebooks
  • Integrations

Tutorials

  • Articles/Blogs
  • Videos
    • Seldon Tech Overview
    • Seldon Core with Kubeflow Demo
    • GDG DevFest 2018 - Seldon and Outlier Detection
    • Kubecon Europe 2018 - Seldon and Kubeflow
    • Seldon Core with Istio
    • Openshift Commons ML SIG - Seldon and S2I
    • Spark + AI Summit 2019 - Seldon and MLflow

Reference

  • General Availability
  • Python API reference
  • Seldon Microservice API
  • Seldon Orchestrator
  • AWS Marketplace Install
  • Benchmarking
  • Seldon Deployment CRD
  • Prediction APIs
  • Seldon Core Helm Chart
  • Release Highlights
  • Images

Developer

  • Overview
  • Contributing to Seldon Core
  • End to End Tests
  • Roadmap
  • Build using private repo
seldon-core
  • Docs »
  • Videos
  • Edit on GitHub

VideosΒΆ

  • Seldon Tech Overview
  • Seldon Core with Kubeflow Demo
  • GDG DevFest 2018 - Seldon and Outlier Detection
  • Kubecon Europe 2018 - Seldon and Kubeflow
  • Seldon Core with Istio
  • Openshift Commons ML SIG - Seldon and S2I
  • Spark + AI Summit 2019 - Seldon and MLflow
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