You can install the released version of HierachicalForecast from the Python package index with:

pip install hierarchicalforecast

or

conda install -c conda-forge hierarchicalforecast

Tip

We recommend installing your libraries inside a python virtual or conda environment.

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User our env (optional)

If you don’t have a Conda environment and need tools like Numba, Pandas, NumPy, Jupyter, StatsModels, and Nbdev you can use ours by following these steps:

1. Clone the HierachicalForecast repo:

$ git clone https://github.com/Nixtla/hierachicalforecast.git && cd hierachicalforecast

1. Create the environment using the environment.yml file:

$ conda env create -f environment.yml

1. Activate the environment:

$ conda activate statsforecast