Welcome to denmarf’s documentation!

denmarf (Density EstimatioN using Masked AutoRegressive Flow) is a python package that provides a scikit-learn-like interface to perform density estimation using masked autoregressive flow.

Contents:

• Installation
  • Dependencies
  • From pypi
  • From github repository
• Usage
  • Executive summary
  • Initializing a DensityEstimate object
  • Fitting a bounded distribution
  • Saving a trained model
  • Loading a saved model from disk
• Advanced Usage
  • Checkpointing the training of a model
  • Restarting the training of a model
• Examples
  • Example 1: fitting a 2D Gaussian distribution
    • Using denmarf to train a model
    • Evaluating the estimated density
    • Generating new samples
• Full API
  • denmarf package
    • Submodules
    • denmarf.density module
    • denmarf.flows module
    • denmarf.transform module
    • denmarf.utils module