Statistical Generative Modeling

Overview

Source:

• The Synthetic Data Vault : generative modeling for relational databases,
• By Neha R. Patki

Quick starter

• Install PyEnv: ```bash $ git clone https://github.com/pyenv/pyenv.git $HOME/.pyenv $ cat » ~/.bashrc « _EOF

Python

export PYENV_ROOT=”${HOME}/.pyenv” export PATH=”${PYENV_ROOT}/bin:${PATH}” if command -v pyenv 1>/dev/null 2>&1 then eval “$(pyenv init -)” fi if command -v pipenv 1>/dev/null 2>&1 then eval “$(pipenv –completion)” fi

_EOF $ . ~/.bashrc

* Install Python 3.9.5:
```bash
$ pyenv install 3.9.5 && pyenv local 3.9.5
$ python -V
Python 3.9.5
$ python -mpip install -U pip pipenv

• Install the Python virtual environment:

  $ pipenv --rm; pipenv install; pipenv install --dev
  

• Launch Jupyter Lab:

  $ pipenv run jupyter lab
  

• It should open the browser on http://localhost:8888/lab

• Double-click on statistical_generative_modeling.ipynb

• Enjoy!

Contributions

Pull requests are preferred. Issues/tickets are welcome too.