RecSys evaluator system for recommenders in a fair manner.
Project description
Streamsight
The purpose of this Final Year Project is to design and implement a toolkit for evaluating Recommendation System (RecSys) which respects the temporal aspect during the data splitting process and incrementally release data as close to a live production setting as possible.
Installation
The package can be installed quickly with python poetry or the traditional pip
method. The recommended way of installation would be through poetry as it will
help install the dependencies along with the package.
Installation with poetry
The following code assumes that you do not have poetry installed yet. If you
using MacOS, you might want to consider installing poetry with homebrew instead.
pip install poetry
# MacOS can consider using brew install poetry
poetry install
Installation with pip
The following code below assumes that you have pip installed and is in system
PATH.
pip install -e .
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