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Contents:

  • proFit
  • Getting Started
  • Configuration
  • Cluster Support
  • Code structure
  • Components
    • Variables
    • The Run System
    • Development Notes: Run System
    • Surrogate models
    • Active Learning
    • Markov-Chain Monte-Carlo
    • User Interface
    • Custom extensions
  • Contributing to proFit
  • API Reference
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Components

This section lists detailed information about the different modules of proFit.

  • Variables
    • Examples
  • The Run System
    • Requirements
    • Design
    • Implementation
    • Components
  • Development Notes: Run System
    • Components & Sections
    • Paths & Directories
    • Enivronment variables
  • Surrogate models
    • Overview
    • Design
    • Kernels
    • Encoders
    • Examples
  • Active Learning
    • Acquisition functions
    • Parallel active learning
    • Examples
  • Markov-Chain Monte-Carlo
    • Results
    • Examples
  • User Interface
    • Starting of the UI
    • General structure
    • Response model/fit
    • Technical Background
  • Custom extensions
    • Examples
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