Forecasting the future level of sales for a certain chain of stores.
To install and use this package in its full potential you need to clone the repository and place the store.csv
and train.csv
files into _data
directory (if not existing, you can ).
cd /path/to/your/git/repos/destination/
git clone https://github.com/mrtovsky/futsal.git
cd futsal && mkdir _data
mv /path/to/your/csvs/*.csv /path/to/your/git/repos/destination/futsal/_data/
After that you should install the futsal package, either directly from the previously cloned repository or from github.
You can always consider runing this installation with --no-deps
flag, to not override your current packages, if upgrade is needed.
pip install git+https://github.com/mrtovsky/futsal.git
When .csv
files are on its places, we can run our data preparation with simultaneous path correctness validation.
python -m futsal /path/to/your/git/repos/destination/futsal/ prepare_store --validate
If you want to know what arguments could be passed to the futsal main, then write:
python -m futsal --help