Welcome to PyPaDRE Documentation!¶

  • PyPaDRE Concept
    • Goals
    • Use Cases
    • Architecture
    • Experiment Evaluation
    • Research Assets Management
    • Metasearch and Automated Machine Learning
  • Design Principles
    • Identity Management
    • Projects
    • Experiment Naming and Uniqueness of Experiments
  • Config
    • Padre Config
    • Implemented functionality
    • Using config through CLI
  • Getting Started - First Steps with PyPadre
    • Installation
    • Configuration
  • Setting up
    • Reference Object
    • Creating a Project in PaDRe
    • Creating an experiment in PaDRe
    • Single Pipeline Experiments
    • Hyperparameter Optimization
    • Multi-pipline, multi-data Experiments
  • Logging in PaDRe
  • Metrics
  • Visualisations
    • Dataset visualization
  • PyPaDRE Development
    • Module Architecture
  • Experiment Storage and Online Synchronization
    • Local Storage Structure
    • Storing of results
    • Server Synchronisation
  • Backend
    • Backend
    • Backend Functionalities
    • Communication to the Backend

Indices and tables¶

  • Index

  • Module Index

  • Search Page

PyPaDRE Documentation

Navigation

  • PyPaDRE Concept
  • Design Principles
  • Config
  • Getting Started - First Steps with PyPadre
  • Setting up
  • Logging in PaDRe
  • Metrics
  • Visualisations
  • PyPaDRE Development
  • Experiment Storage and Online Synchronization
  • Backend

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  • Documentation overview
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