Machine Learned Landscape Flattening documentation

This is the project documentation root. The main documentation files live in the docs/ directory; see the sections below.

• Machine Learned Landscape Flattening (mllf)
  • Brief introduction
  • What you’ll find in these docs
  • Quick start (recommended)
  • Contents (top-level)
• Installation
  • Virtualenv (recommended)
  • Conda (alternative)
  • Running tests
  • Building the docs locally
• Running Examples
  • Overview
  • Main Training Workflow
  • Pretraining Example
  • Example System: 14benz
  • SLURM Job Submission
  • Resume Capability
  • Customizing the Workflow
  • Tips
  • Reward Function Tuning
  • See Also
• mllf API
  • File Handling
  • DeepSet Modules
  • Graph and CB Modules
  • Workflow Utilities