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Kubeflow v1.3 Documentation
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Reference

 来源:Kubeflow 浏览 298 扫码 分享 2021-07-11 11:26:33
  • Reference
    • Component Specification
    • Pipelines API Reference
    • Pipelines SDK Reference

    Reference

    Reference docs for Kubeflow Pipelines

    Component Specification

    Definition of a Kubeflow Pipelines component

    Pipelines API Reference

    Reference documentation for the Kubeflow Pipelines API

    Pipelines SDK Reference

    Reference documentation for the Kubeflow Pipelines SDK

    Last modified 03.03.2021: Move Kubeflow Pipelines under /components (#2505) (c34470b8)

    当前内容版权归 Kubeflow 或其关联方所有，如需对内容或内容相关联开源项目进行关注与资助，请访问 Kubeflow .
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    • Documentation
    • About
      • Introduction to Kubeflow
      • Use Cases
      • Contributing to Kubeflow
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    • Components
      • Central Dashboard
        • Central Dashboard
        • Customizing menu items
        • Registration Flow
      • Notebook Servers
        • Overview of Jupyter Notebooks in Kubeflow
        • Set Up Your Notebooks
        • Create a Custom Jupyter Image
        • Submit Kubernetes Resources
        • Troubleshooting Guide for Jupyter Notebooks
      • Kubeflow Pipelines
        • Pipelines Quickstart
        • Installing Pipelines
          • Installation Options for Kubeflow Pipelines
          • Kubeflow Pipelines Standalone Deployment
          • Deploying Kubeflow Pipelines on a local cluster
        • Understanding Pipelines
          • Overview of Kubeflow Pipelines
          • Introduction to the Pipelines Interfaces
          • Concepts
            • Pipeline
            • Component
            • Graph
            • Experiment
            • Run and Recurring Run
            • Run Trigger
            • Step
            • Output Artifact
        • Building Pipelines with the SDK
          • Kubeflow Pipelines SDK v2
            • Introducing Kubeflow Pipelines SDK v2
            • Build a Pipeline
            • Building Components
            • Building Python Function-based Components
          • Introduction to the Pipelines SDK
          • Install the Kubeflow Pipelines SDK
          • Connecting to Kubeflow Pipelines using the SDK client
          • Build a Pipeline
          • Building Components
          • Building Python function-based components
          • Best Practices for Designing Components
          • Pipeline Parameters
          • Visualize Results in the Pipelines UI
          • Pipeline Metrics
          • DSL Static Type Checking
          • DSL Recursion
          • Using environment variables in pipelines
          • GCP-specific Uses of the SDK
          • Kubeflow Pipelines SDK for Tekton
          • Manipulate Kubernetes Resources as Part of a Pipeline
          • Python Based Visualizations (Deprecated)
        • Multi-user Isolation for Pipelines
        • Caching
        • Upgrading
        • Samples and Tutorials
          • Using the Kubeflow Pipelines Benchmark Scripts
          • Using the Kubeflow Pipelines SDK
          • Experiment with the Kubeflow Pipelines API
          • Experiment with the Pipelines Samples
          • Run a Cloud-specific Pipelines Tutorial
        • Troubleshooting
        • Reference
          • Component Specification
            • Pipelines API Reference
          • Pipelines SDK Reference
      • KFServing
        • KFServing
      • Katib
        • Introduction to Katib
        • Getting Started with Katib
        • Running an Experiment
        • Resuming an Experiment
        • Overview of Trial Templates
        • Using Early Stopping
        • Katib Configuration Overview
        • Environment Variables for Katib Components
      • Training Operators
        • TensorFlow Training (TFJob)
        • PyTorch Training
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      • Multi-Tenancy
        • Introduction to Multi-user Isolation
        • Design for Multi-user Isolation
        • Getting Started with Multi-user Isolation
    • External Add-Ons
      • Istio
        • Istio Usage in Kubeflow
      • Kale
      • Fairing
        • Overview of Kubeflow Fairing
        • Install Kubeflow Fairing
        • Configure Kubeflow Fairing
        • Fairing on Azure
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          • Configure Kubeflow Fairing with Access to GCP
          • GCP Samples and Tutorials
            • Train and Deploy on GCP from a Local Notebook
            • Train and Deploy on GCP from a Kubeflow Notebook
        • Tutorials
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        • Reference
          • Kubeflow Fairing SDK Reference
      • Feature Store
        • Introduction to Feast
        • Getting started with Feast
      • Tools for Serving
        • Overview
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        • NVIDIA Triton Inference Server
        • TensorFlow Serving
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    • Distributions
      • Kubeflow on AWS
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          • Install Kubeflow
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        • Customizing Kubeflow on AWS
          • Customizing Kubeflow on AWS
          • Logging
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        • Authentication and Authorization
          • Authentication and Authorization
          • Authentication using OIDC
        • Optimized Jupyter Notebooks on AWS
        • Kubeflow Pipelines on AWS
        • End-to-end Kubeflow on AWS
        • Troubleshooting Kubeflow on Amazon EKS
      • Kubeflow on Azure
        • Deployment
          • Install Kubeflow
          • Initial cluster setup for existing cluster
          • Uninstall Kubeflow
        • Authentication using OIDC in Azure
        • Azure Machine Learning Components
        • End-to-End Pipeline Example on Azure
        • Access Control for Azure Deployment
        • Configure Azure MySQL database to store metadata
        • Troubleshooting Deployments on Azure AKS
      • Kubeflow on Google Cloud
        • Deployment
          • Overview
          • Set up Project
          • Set up OAuth client
          • Deploy Management cluster
          • Deploy Kubeflow cluster
          • Upgrade Kubeflow
          • Monitor Cloud IAP Setup
          • Delete Kubeflow
          • Deploy using UI
        • Pipelines on Google Cloud
          • Connecting to Kubeflow Pipelines on Google Cloud using the SDK
          • Authenticating Pipelines to Google Cloud
          • Upgrading
          • Enabling GPU and TPU
          • Using Preemptible VMs and GPUs on Google Cloud
        • Customize Kubeflow on GKE
        • Using Your Own Domain
        • Authenticating Kubeflow to Google Cloud
        • Securing Your Clusters
        • Troubleshooting Deployments on GKE
        • Kubeflow On-premises on Anthos
      • Kubeflow on IBM Cloud
        • Create or access an IBM Cloud Kubernetes cluster
        • Create or access an IBM Cloud Kubernetes cluster on a VPC
        • Kubeflow Deployment on IBM Cloud
          • Kubeflow Deployment Process
          • Install Kubeflow on IKS
          • Install Kubeflow on OpenShift
          • Securing the Kubeflow authentication with HTTPS
          • Uninstall Kubeflow
        • Pipelines on IBM Cloud Kubernetes Service (IKS)
        • Using IBM Cloud Container Registry (ICR)
        • End-to-end Kubeflow on IBM Cloud
      • Arrikto Enterprise Kubeflow
      • Arrikto MiniKF
        • MiniKF on laptop/desktop
        • MiniKF on AWS Marketplace
        • MiniKF on GCP Marketplace
      • Kubeflow Charmed Operators
        • Installing Kubeflow with Charmed Operators
      • Kubeflow Operator
        • Introduction
        • Installing Kubeflow Operator
        • Installing Kubeflow
        • Uninstalling Kubeflow
        • Uninstalling Kubeflow Operator
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      • Kubeflow on OpenShift
        • Install Kubeflow on OpenShift
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    • Tutorials, Samples, and Shared Resources
      • Kubeflow Samples
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      • Blog Posts
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    • Further Setup and Troubleshooting
      • Deploying Kubeflow behind a proxy server
      • Kubeflow On-prem in a Multi-node Kubernetes Cluster
      • Frequently Asked Questions
      • Support
      • Integrations
        • Data Management
    • Reference
      • Reference Overview
      • Kubeflow Versioning Policies
      • Dockerfile Locations
      • Katib Reference
        • Katib v1beta1
          • Katib
        • Katib v1alpha3
          • Katib
      • MPIJob Reference
        • MPIJob v1alpha2
          • MPIJob
      • Notebook CRD Reference
        • Notebook CRD V1 Reference
      • PyTorchJob Reference
        • PyTorchJob v1
          • PyTorchJob
        • PyTorchJob v1beta2
          • PyTorchJob
      • TFJob Reference
        • TFJob v1
          • TFJob Common
          • TFJob TensorFlow
        • TFJob v1beta2
          • TFJob Common
          • TFJob TensorFlow
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