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v0.5.1

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
    • Ambassador Canary
    • Ambassador Shadow
    • Ambassador Headers
    • Ambassador Custom Config
    • Autoscaling Example
    • Alibaba Cloud Container Service for Kubernetes Deep Mnist
    • AWS Elastic Kubernetes Service (EKS) Deep MNIST
    • Azure Kubernetes Service (AKS) Deep MNIST
    • Custom Endpoints
    • Example Helm Deployments
    • Explainer Alibi Anchor Tabular
    • Tabular, Text and Image Model Explainers
    • Go Model
    • GPU Tensorflow Deep MNIST
    • H2O Java MoJo
    • Istio Canary
    • Istio Examples
    • Jaeger Tracing
    • Keras MNIST Model Deployment
    • Test using Minikube
    • Chainer MNIST Model Deployment
    • Test using Minikube
    • Kubeflow Seldon E2E Pipeline
    • Max gRPC Message Size
    • Model with Custom Metrics
    • MLFlow
    • MLFlow Pre-packaged MOdel Server A/B Test
    • NodeJS MNIST
    • NodeJS Tensorflow
    • NVIDIA TensorRT MNIST
    • OpenVINO ImageNet
    • OpenVINO ImageNet Ensemble
    • ONNX ResNet with Intel nGraph
    • R Iris Classifier
    • R MNIST Classifier
    • REST timeouts
    • Sagemaker SKLearn Example
    • SKLearn Iris Classifier
    • SKLearn MNIST
    • SKLearn SpaCy Reddit Text Classifier Example
    • Sklearn, Xgboost, Tensorflow Server Examples
    • Tensorflow MNIST
    • TFserving MNIST
    • Spam Classification TRANSFORMER component
    • Spam Classification Model (Sklearn)
    • Spam Classification Model (keras)
  • Integrations

Tutorials

  • Articles/Blogs
  • Videos

Reference

  • Python API reference
  • Seldon Microservice API
  • Seldon Orchestrator
  • Benchmarking
  • Seldon Deployment CRD
  • Prediction APIs
  • Seldon Core Helm Chart
  • Release Highlights
  • Images

Developer

  • Overview
  • Roadmap
  • Build using private repo
seldon-core
  • Docs »
  • Notebooks
  • Edit on GitHub

NotebooksΒΆ

  • Ambassador Canary
  • Ambassador Shadow
  • Ambassador Headers
  • Ambassador Custom Config
  • Autoscaling Example
  • Alibaba Cloud Container Service for Kubernetes Deep Mnist
  • AWS Elastic Kubernetes Service (EKS) Deep MNIST
  • Azure Kubernetes Service (AKS) Deep MNIST
  • Custom Endpoints
  • Example Helm Deployments
  • Explainer Alibi Anchor Tabular
  • Tabular, Text and Image Model Explainers
  • Go Model
  • GPU Tensorflow Deep MNIST
  • H2O Java MoJo
  • Istio Canary
  • Istio Examples
  • Jaeger Tracing
  • Keras MNIST Model Deployment
  • Test using Minikube
  • Chainer MNIST Model Deployment
  • Test using Minikube
  • Kubeflow Seldon E2E Pipeline
  • Max gRPC Message Size
  • Model with Custom Metrics
  • MLFlow
  • MLFlow Pre-packaged MOdel Server A/B Test
  • NodeJS MNIST
  • NodeJS Tensorflow
  • NVIDIA TensorRT MNIST
  • OpenVINO ImageNet
  • OpenVINO ImageNet Ensemble
  • ONNX ResNet with Intel nGraph
  • R Iris Classifier
  • R MNIST Classifier
  • REST timeouts
  • Sagemaker SKLearn Example
  • SKLearn Iris Classifier
  • SKLearn MNIST
  • SKLearn SpaCy Reddit Text Classifier Example
  • Sklearn, Xgboost, Tensorflow Server Examples
  • Tensorflow MNIST
  • TFserving MNIST
  • Spam Classification TRANSFORMER component
  • Spam Classification Model (Sklearn)
  • Spam Classification Model (keras)
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