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