Library for lagged conversion rate estimation.
Based on the paper Chapelle: "Modeling Delayed Feedback in Display Advertising".
This is a Python 3 library.
Create conda
environment:
$ conda create --name convpy python=3 -y
Activate the conda environment:
$ source activate convpy
Clone convpy
repository to current directory:
$ git clone git@github.com:markovianhq/convpy.git
Install all requirements:
$ conda install --file requirements.txt --yes
$ pip install -r requirements_pip.txt
Now install the convpy
package:
$ python setup.py develop
Install extra packages required for testing:
$ pip install -r requirements_pip_test.txt --yes
Run tests:
$ pytest convpy --flake8