A bayesian approach to brand health tracking
Project description
BayesianBrandTracker
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 BayesianBrandTracker in Development mode
# make sure BayesianBrandTracker package is installed in development mode
$ pip install -e .
# make changes under nbs/ directory
# ...
# compile to have changes apply to BayesianBrandTracker
$ nbdev_prepare
Usage
Installation
Install latest from the GitHub repository:
$ pip install git+https://github.com/redam94/BayesianBrandTracker.git
or from conda
$ conda install -c redam94 BayesianBrandTracker
or from pypi
$ pip install BayesianBrandTracker
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
Fill me in please! Don’t forget code examples:
1+1
2
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