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Welcome to Hypernets¶

Hypernets: A General Automated Machine Learning Framework¶

Hypernets is a general AutoML framework that can meet various needs such as feature engineering, hyperparameter optimization, and neural architecture search, thereby helping users achieve the end-to-end automated machine learning pipelines.

Home:

  • Overview
    • Key Components
  • Quick Start
    • Installation
    • Getting started
  • Search Space
    • HyperSpace
    • Parameter Space
    • Connection Space
    • Module Space
  • Searchers
    • Single-objective Optimization
    • Multi-objective optimization
  • HyperModels
    • Customize HyperModel
  • Neural Architecture Search
    • Define A DNN Search Space
    • Define A CNN Search Space
    • Define An ENAS Micro Search Space
    • References
  • Experiment
    • GeneralExperiment
    • CompeteExperiment
  • Hyperctl
    • Concepts
    • Quick start
    • Batch configuration file references
    • Job template configuration file references
  • API
    • Subpackages
    • Module contents
  • Release Notes
    • v0.2.5
    • v0.3.0
  • FAQ
    • How…

Indices and tables¶

  • Index
  • Module Index
  • Search Page
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