Repo is a collection of smaller smaller projects that are meant to be somewhat interdependent. Currently, bodies of work pertaining to the breakfast dataset and the Schapiro task reside here.

• Workbooks
• Reports
• Notes

Clone the repo first:

$ git clone https://github.com/aprashedahmed/predictive-event-segmentation.git

Create the appropriate conda environment according to the specific project within the repo you're interested in. For example, to create the breakfast environment:

$ conda env create -f env/environment_breakfast.yml

Then, in the newly created environment, install the development requirements:

$ conda install -f dev-requirements.txt -c conda-forge -c anaconda

Followed by adding the repo as a module:

$ python setup.py develop

This repo is based on two cookiecutter templates. See the following github pages for more info:

• cookiecutter-data-science-pp
• cookiecutter-data-science