v1.9

Table of Contents

  • Overview
  • Installation
  • QuickStart
  • Auto (Hyper-parameter) Tuning
    • Write Trial
    • Tuners
    • Assessors
    • Training Platform
      • Overview
      • Local
      • Remote
      • OpenPAI
      • OpenPAI Yarn Mode
      • Kubeflow
      • FrameworkController
      • DLTS
      • AML
    • Examples
    • WebUI
    • How to Debug
    • Advanced
  • Neural Architecture Search
  • Model Compression
  • Feature Engineering
  • References
  • Use Cases and Solutions
  • FAQ
  • How to Contribute
  • ChangeLog
  • Release 1.9 - 10/22/2020
  • Release 1.8 - 8/27/2020
  • Release 1.7 - 7/8/2020
NNI
  • Docs »
  • Auto (Hyper-parameter) Tuning »
  • Introduction to NNI Training Services
  • Edit on GitHub

Introduction to NNI Training ServicesΒΆ

  • Overview
    • What is Training Service?
    • How to use Training Service?
    • Built-in Training Services
    • What does Training Service do?
  • Local
    • View experiment results
    • Using multiple local GPUs to speed up search
  • Remote
    • Requirements
      • Linux
      • Windows
    • Run an experiment
      • Configure python environment
  • OpenPAI
    • Setup environment
    • Run an experiment
      • Trial configurations
      • OpenPAI configurations
    • data management
    • version check
  • OpenPAI Yarn Mode
    • Setup environment
    • Run an experiment
    • data management
    • version check
  • Kubeflow
    • Prerequisite for on-premises Kubernetes Service
    • Prerequisite for Azure Kubernetes Service
    • Design
    • Supported operator
    • Supported storage type
    • Run an experiment
    • version check
  • FrameworkController
    • Prerequisite for on-premises Kubernetes Service
    • Prerequisite for Azure Kubernetes Service
    • Setup FrameworkController
    • Design
    • Example
    • How to run example
    • version check
  • DLTS
    • Setup Environment
  • AML
    • Setup environment
    • Run an experiment
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