MCMC norm learning

This repository contains the source code used for experiments in the paper: #TODO:add doi for paper

The project covers the steps:

Project Organization

├── LICENSE
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├── README.md               <- The top-level README for developers using this project.
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├── data_nc/*               <- Folder with dvc files for various experiments with $p_nn$ > 0
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├── data/*                  <- Folder with dvc files for various experiments with $p_nn$ = 0
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├── src/
│   ├── mcmc_norm_*         <- Code files for grammar/Metropolis Hastings Algorithm/convergence
|   |                          and preciscion-recall
│   └── *.py                <- Small Helper files
│
├── scripts/                <- Scripts used for variouis instances of the process depicted in 
|   |                          schematic above.
│   └── nc_experiments.py   <- Binding script used to run various parts of experiment
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├── notebooks               <- Jupyter notebooks. Naming convention is a number (for ordering),
│                              the creator's initials, and a short `-` delimited description, e.g.
│                              `1.0-jqp-initial-data-exploration`. The notebooks with tag 1.5 mark 
|                              the files used for experiment shown in paper.
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├── **params_nc.yaml**      <- yaml file detailing parameters for experiments used
│
├── requirements.txt        <- The requirements file for reproducing the analysis environment, e.g.
│                              generated with `pip freeze > requirements.txt`
│
│
└── venv/                   <- Virtual environment used for experiments