Warning
Site under construction! check https://paucablop.github.io/chemotools/ for a full documentation site
This project provides a toolkit for spectral preprocessing techniques integrated with the widely popular
scikit-learn API and the rest of the Python machine learning environment. The goal of the project is to
provide a comprehensive and user-friendly package to standardize the development and deployment of chemometric models.
The project intends to enable users to easily build and deploy machine learning and chemometric models on top of
preprocessed data, making it possible to identify patterns and make predictions with greater accuracy.
