haruspex

A Python library for advanced hierarchical Bayesian modeling with time series functionality, enabling causal inference in media mix modeling.

This file will become your README and also the index of your documentation.

Developer Guide

If you are new to using nbdev here are some useful pointers to get you started.

Install haruspex in Development mode

# make sure haruspex package is installed in development mode
$ pip install -e .

# make changes under nbs/ directory
# ...

# compile to have changes apply to haruspex
$ nbdev_prepare

Usage

Installation

Install latest from the GitHub repository:

$ pip install git+https://github.com/redam94/haruspex.git

or from conda

$ conda install -c redam94 haruspex

or from pypi

$ pip install haruspex

Documentation

Documentation can be found hosted on this GitHub repository’s pages. Additionally you can find package manager specific guidelines on conda and pypi respectively.

How to use