MCMC norm learning

Table of Contents

Table of Contents

1. ➤ About The Project
2. ➤ Prerequisites
3. ➤ Project Organsisation
4. ➤ Dataset
5. ➤ Roadmap
6. ➤ Contributors

About The Project

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

The project covers the steps as given in the schematic below:

Prerequisites

To clone and run this application, you'll need to follow the below-mentioned steps:

# Clone this repository
$ git clone https://github.com/ashish1610dhiman/learning_norms_with_mcmc_from_pcfg_IJCAI21

# Go into the repository
$ cd learning_norms_with_mcmc_from_pcfg_IJCAI21

# Install depenencies using pip
$ pip install -r requirements.txt

# Or install depenencies in a conda env
$ conda create --name <env_name> --file requirements.txt

Project Organization

---

├── LICENSE
|
├── README.md               <- The top-level README.
|
├── *_supp_material.pdf     <- Supplemetary material for paper published in IJCAI-21.
|
├── data_nc/*               <- Folder with dvc files for various experiments with $p_nn$ > 0
|
├── data/*                  <- Folder with dvc files for various experiments with $p_nn$ = 0
|
├── 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
|
├── 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.
|
├── params_nc.yaml          <- yaml file detailing parameters for experiments used
│
└── requirements.txt        <- The requirements file for reproducing the analysis environment

Dataset

The project uses

There are two data folders in the repository:

'data/*' and 'data_nc/*' for two workstream of the project

Roadmap

#TODO add experiment structure, and notebooks used, and yaml param files

Contributors

1. Stephen CranefieldDepartment of Information Science, University of Otago Google Scholar

2. Ashish DhimanConnect on LinkedIn