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GuidesSDK ReferenceRelease NoteDiscussions

Introduction

  • Prologue
  • Introduction to Link
  • Key Features

Getting Started

  • Usage Environment
  • Installation and Activation
    • Python Package
    • Desktop App
    • Version Update
    • AWS AMI
  • Product Key
    • Request and Enter a Product Key
    • Retrieve Forgotten Product Key

Layout

  • Layout
    • Pipeline Panel Area Menu
    • Context Menu
    • Light/Dark Mode

Tutorial

  • Sample Source
  • Follow the Example

Examples

  • Link Examples

Features

  • Create and Run Pipeline
    • Create Pipeline
    • Run Pipeline
    • Execute Pipeline with Remote Server
    • Utilize Pipeline Components
  • Caching Management
    • Example of Component Caching
    • Enable/Disable Component Caching
    • Export/Import Cache
    • Clear Caches
  • Pipeline Parameter
    • Set Pipeline Parameter
    • Hyper-Parameter Optimizer
  • Version Control (Link Git)
    • Create and Clone a Git Repository
    • Link Git Commit
    • See Changes after Commit
    • Conflict Management
  • Export/Import
    • Export/Import Pipeline
    • Export/Import Component
    • Export/Import Kubeflow Pipeline
    • Convert to Python File

Troubleshooting

  • Technical Support
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Sample Source

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Download example source (notebook code only)

This example demonstrates a model development process for a classification model that predicts the type of flower based on examples or characteristics of petals using the provided Iris dataset.

Link_SampleCode(iris_classification).ipynb

Download example source (notebook code + pipeline)

Link_SampleCode(iris_classification)_with_Pipeline.ipynb

Updated 9 days ago


  • Table of Contents
    • Download example source (notebook code only)
    • Download example source (notebook code + pipeline)