Installation Instructions

This repo uses Python 3.8 and various NLP-related libraries that can be installed:

Using mamba in conda environments based on the provided unifire.yml environment files,
- If you run into issues with the OS-specific files, please use the agnostic installation/unifire-base.yml file instead.
- Run:
- ```
conda create -n unifire python=3.8
mamba env update -n unifire -f unifire-base.yml
conda activate unifire
```
For macOS and Linux only: via pip in a Python virtual environment created with, e.g., pyenv or venv using the provided unifire.txt requirement files.
Deprecated: using Docker Desktop to pull an image from Docker Hub and create a local container with the requisite software to run the notebooks.

You could also just install the packages required for the notebooks you are interested in.

conda env create -f installation/unifire-base.yml

Installing the libraries using pip

Some of the libraries require previous installation of OS-specific software, which may depend on the state of your machine.

pip install pycaret
pip install pycaret[full]

pip install shapash