v2.1
Table of Contents
Overview
Installation
QuickStart
Auto (Hyper-parameter) Tuning
Neural Architecture Search
Model Compression
Feature Engineering
References
nnictl Commands
Experiment Configuration
Experiment Configuration V2
Search Space
NNI Annotation
SDK API References
Supported Framework Library
Launch from python
Shared Storage
Use Cases and Solutions
Research and Publications
FAQ
How to Contribute
Change Log
NNI
Docs
»
References
Edit on GitHub
References
ΒΆ
nnictl Commands
Introduction
Commands
Experiment Configuration
Template
Configuration Spec
Examples
Experiment Configuration V2
Notes
Examples
Reference
Search Space
Overview
Types
Search Space Types Supported by Each Tuner
NNI Annotation
Overview
Types of Annotation:
SDK API References
Auto Tune
NAS
Compression
Supported Framework Library
Supported AI Frameworks
Supported Library
Launch from python
Overview
Run a New Experiment
Start and Manage a New Experiment
Connect and Manage an Exist Experiment
API
Shared Storage
Example
Read the Docs
v: v2.1
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