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Status](https://readthedocs.org/projects/tdub/badge/?version=latest)](https://tdub.readthedocs.io/)\n[![PyPI](https://img.shields.io/pypi/v/tdub?color=teal)](https://pypi.org/project/tdub/)\n[![Python Version](https://img.shields.io/pypi/pyversions/tdub)](https://pypi.org/project/tdub/)\n\n`tdub` is a Python project for handling some downstsream steps in the\nATLAS Run 2 *tW* inclusive cross section analysis. The project provides\na simple command line interface for performing standard analysis tasks\nincluding:\n\n- BDT feature selection and hyperparameter optimization.\n- Training BDT models on our Monte Carlo.\n- Applying trained BDT models to our data and Monte Carlo.\n- Generating plots from various raw sources (our ROOT files and\n  Classifier training output).\n- Generating plots from the output of\n  [`TRExFitter`](https://gitlab.cern.ch/TRExStats/TRExFitter/).\n\nFor potentially finer-grained tasks the API is fully documented. The\nAPI mainly provides quick and easy access to pythonic representations\n(i.e. dataframes or NumPy arrays) of our datasets (which of course\noriginate from [ROOT](https://root.cern/) files), modularized ML\ntasks, and a set of utilities tailored for interacting with our\nspecific datasets.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdouglasdavis%2Ftdub","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdouglasdavis%2Ftdub","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdouglasdavis%2Ftdub/lists"}