思维导图备注

Kubeflow 1.0 Document
首页 白天 夜间 BookChat 小程序 小程序 阅读
  • 书签 我的书签
  • 添加书签 添加书签 移除书签 移除书签

Pipelines SDK Reference

 来源:谷歌 浏览 440 扫码 分享 2020-03-06 21:41:27
  • Pipelines SDK Reference
    • Feedback

    Pipelines SDK Reference

    Reference documentation for the Kubeflow Pipelines SDK

    See the generated reference docs for the PythonSDK (hosted onRead the Docs).

    Feedback

    Was this page helpful?

    Glad to hear it! Please tell us how we can improve.

    Sorry to hear that. Please tell us how we can improve.

    Last modified 05.06.2019: Fixed link to Pipelines SDK reference (#770) (01fa0478)

    当前内容版权归 谷歌 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 谷歌 .
    上一篇:
    下一篇:
    • 书签
    • 添加书签 移除书签
    • About
      • Kubeflow
      • Use Cases
      • Contributing to Kubeflow
      • Community
      • Events Calendar
      • Docs
      • Style Guide for the Kubeflow Docs
    • Getting Started
      • Kubeflow Overview
      • Installing Kubeflow
      • Cloud Installation
        • AWS for Kubeflow
        • Azure for Kubeflow
        • Google Cloud for Kubeflow
        • IBM Cloud for Kubeflow
      • Kubernetes Installation
        • Overview of Deployment on Existing Clusters
        • Kubeflow Deployment with kfctl_k8s_istio
        • Multi-user, auth-enabled Kubeflow with kfctl_existing_arrikto
        • Multi-user, auth-enabled Kubeflow with kfctl_istio_dex
      • Workstation Installation
        • Kubeflow on Linux
        • Kubeflow on macOS
        • Kubeflow on Windows
        • Deploy using MiniKF on GCP
    • Components of Kubeflow
      • Central Dashboard
        • Central Dashboard
        • Registration Flow
      • Metadata
      • Jupyter Notebooks
      • Frameworks for Training
        • Chainer Training
        • MPI Training
        • MXNet Training
        • PyTorch Training
        • TensorFlow Training (TFJob)
      • Hyperparameter Tuning
        • Introduction to Katib
        • Getting started with Katib
        • Running an experiment
      • Pipelines
        • Pipelines
      • Tools for Serving
        • Overview
        • KFServing
        • Seldon Serving
        • NVIDIA TensorRT Inference Server
        • TensorFlow Serving
        • TensorFlow Batch Prediction
      • Multi-Tenancy in Kubeflow
        • Introduction to Multi-user Isolation
        • Design for Multi-user Isolation
        • Getting Started with Multi-user Isolation
      • Miscellaneous
        • Nuclio functions
    • Jupyter Notebooks
      • Overview of Jupyter Notebooks in Kubeflow
      • Set Up Your Notebooks
      • Create a Custom Jupyter Image
      • Submit Kubernetes Resources
      • Build a Docker Image on GCP
      • Troubleshooting Guide
    • Pipelines
      • Pipelines Quickstart
      • Installing Pipelines
        • Installation Options for Kubeflow Pipelines
        • Kubeflow Pipelines Standalone Deployment
      • 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
        • Introduction to the Pipelines SDK
        • Install the Kubeflow Pipelines SDK
        • Build Components and Pipelines
        • Create Reusable Components
        • Build Lightweight Python Components
        • Best Practices for Designing Components
        • Pipeline Parameters
        • Python Based Visualizations
        • 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
        • Manipulate Kubernetes Resources as Part of a Pipeline
      • Upgrading and Reinstalling
      • Samples and Tutorials
        • 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
    • Fairing
      • Overview of Kubeflow Fairing
      • Install Kubeflow Fairing
      • Configure Kubeflow Fairing
      • Fairing on Azure
      • Fairing on GCP
        • 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
        • Other Samples and Tutorials
      • Reference
        • Kubeflow Fairing SDK Reference
    • Kubeflow on AWS
      • Deployment
      • Install Kubeflow
      • Uninstall Kubeflow
      • Customizing Kubeflow on AWS
      • AWS IAM Role for Service Account
      • Logging
      • Private Access
      • Authentication and Authorization
      • Custom Domain
      • Storage Options
      • Troubleshooting Deployments on Amazon EKS
      • Kubeflow on AWS Features
      • End-to-end Kubeflow on AWS
    • Kubeflow on Azure
      • Deployment
      • Install Kubeflow
      • Initial cluster setup for existing cluster
      • Uninstall Kubeflow
      • End-to-End Pipeline Example on Azure
      • Access Control for Azure Deployment
      • Troubleshooting Deployments on Azure AKS
    • Kubeflow on GCP
      • Deploying Kubeflow
      • Set up a GCP Project
      • Set up OAuth for Cloud IAP
      • Deploy using UI
      • Deploy using CLI
      • Monitor Cloud IAP Setup
      • Delete using CLI
      • Delete using GCP Console
      • Features of Kubeflow on GCP
      • Kubeflow On-premises on Anthos GKE
      • Pipelines on GCP
      • Authenticating Pipelines to GCP
      • Upgrading and Reinstalling
      • Enabling GPU and TPU
      • Using Preemptible VMs and GPUs on GCP
      • Customizing Kubeflow on GKE
      • Using Your Own Domain
      • Authenticating Kubeflow to GCP
      • Using Cloud Filestore
      • Securing Your Clusters
      • Troubleshooting Deployments on GKE
      • Tutorial: End-to-end Kubeflow on GCP
      • Logging and monitoring
    • Kubeflow on IBM Cloud
      • Install Kubeflow
      • Initial cluster setup for existing cluster
      • Uninstall Kubeflow
    • Kubeflow on OpenShift
      • Install Kubeflow
      • Uninstall Kubeflow
    • Tutorials, Samples, and Shared Resources
      • Kubeflow Samples
      • Codelabs, Workshops, and Tutorials
      • Blog Posts
      • Videos
      • Shared Resources and Components
    • Further Setup and Troubleshooting
      • Virtual Developer Environments
      • Microk8s for Kubeflow
      • MiniKF
      • Configuring Kubeflow with kfctl and kustomize
      • Kubeflow On-prem in a Multi-node Kubernetes Cluster
      • Usage Reporting
      • Istio Usage in Kubeflow
      • Job Scheduling
      • Troubleshooting
      • Frequently Asked Questions
      • Support
    • Upgrading Kubeflow
      • Upgrading a Kubeflow Deployment
    • Reference
      • Reference Overview
      • Kubeflow Versioning Policies
      • Dockerfile Locations
      • Katib Reference
      • Katib v1alpha3
      • Katib
      • 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
    暂无相关搜索结果！

      本文档使用 BookStack 构建

      展开/收起文章目录

      分享，让知识传承更久远

      文章二维码

      手机扫一扫，轻松掌上读

      文档下载

      • 普通下载
      • 下载码下载(免登录无限下载)
      你与大神的距离，只差一个APP
      APP下载
      请下载您需要的格式的文档，随时随地，享受汲取知识的乐趣！
      PDF文档 EPUB文档 MOBI文档
      温馨提示 每天每在网站阅读学习一分钟时长可下载一本电子书，每天连续签到可增加阅读时长
      下载码方式下载：免费、免登录、无限制。 免费获取下载码

      微信小程序阅读

      BookChat 微信小程序阅读
      您与他人的薪资差距，只差一个随时随地学习的小程序

      书签列表

        阅读记录

        阅读进度: 0.00% ( 0/0 ) 重置阅读进度