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NNPD documentation
NNPD documentation

Get started

  • Your first run
  • How the pieces fit together
  • Configuration and one-factor sweeps
  • Notebooks and Python scripts

Use and extend

  • Working with saved results
  • Products, metrics, and plots
  • Extending the framework
  • CPU, CUDA, and multiple GPUs
  • Storage, caching and reproducibility

Reference

  • Settings reference
  • Command-line reference
  • Python API
    • nnpd
      • nnpd.cli
      • nnpd.core
        • nnpd.core.api
        • nnpd.core.runner
        • nnpd.core.runtime
        • nnpd.core.settings
        • nnpd.core.storage
      • nnpd.nre
        • nnpd.nre.data
        • nnpd.nre.distributions
        • nnpd.nre.inference
        • nnpd.nre.models
        • nnpd.nre.training
      • nnpd.results
    • gaussian
      • gaussian.analysis
      • gaussian.diagnostics
      • gaussian.evaluation
      • gaussian.experiment
      • gaussian.extensions
      • gaussian.metrics
      • gaussian.plots
      • gaussian.problem
      • gaussian.sampling
  • The paper
  • Scientific notes
  • Testing and validation
  • Troubleshooting

Documentation website

  • Publishing the documentation website
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gaussian¶

The Gaussian prior-dependence study, implemented using the independent framework.

Submodules¶

  • gaussian.analysis
  • gaussian.diagnostics
  • gaussian.evaluation
  • gaussian.experiment
  • gaussian.extensions
  • gaussian.metrics
  • gaussian.plots
  • gaussian.problem
  • gaussian.sampling
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