BayesianBrandTracker


NameBayesianBrandTracker JSON
Version 0.0.1 PyPI version JSON
download
home_pagehttps://github.com/redam94/BayesianBrandTracker
SummaryA bayesian approach to brand health tracking
upload_time2024-10-25 15:43:09
maintainerNone
docs_urlNone
authorMatthew Reda
requires_python>=3.7
licenseApache Software License 2.0
keywords nbdev jupyter notebook python
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # BayesianBrandTracker


<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->

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

``` sh
# 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](https://github.com/redam94/BayesianBrandTracker):

``` sh
$ pip install git+https://github.com/redam94/BayesianBrandTracker.git
```

or from [conda](https://anaconda.org/redam94/BayesianBrandTracker)

``` sh
$ conda install -c redam94 BayesianBrandTracker
```

or from [pypi](https://pypi.org/project/BayesianBrandTracker/)

``` sh
$ pip install BayesianBrandTracker
```

### Documentation

Documentation can be found hosted on this GitHub
[repository](https://github.com/redam94/BayesianBrandTracker)’s
[pages](https://redam94.github.io/BayesianBrandTracker/). Additionally
you can find package manager specific guidelines on
[conda](https://anaconda.org/redam94/BayesianBrandTracker) and
[pypi](https://pypi.org/project/BayesianBrandTracker/) respectively.

## How to use

Fill me in please! Don’t forget code examples:

``` python
1+1
```

    2

            

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