This repository will contain all the scripts used in the ML in ttbar resonance project.
Detailed description will be found in the documentation page.
These instructions are to use primarily on flashy (atlas-t3-ubc.westgrid.ca), which only has CPUs. You need to have git and anaconda to start with. Detailed instruction in the code set-up page.
For the first time
git clone https://github.com/elhamekhoda/top-ml.git
cd top-ml
conda env create -f env_top-ml.yml
conda activate top-mlFuture log-in
cd top-ml
conda activate top-mlThe dataset files will be in the Hierarchical Data Format (HDF). Our dataset will be in hdf5 format. .
The variables are stored in /data/elham/top-ml-project/inputs/ directory on UBC cluster. Detailed description can be found in the data-set page.
The training input and target variables are listed in scripts/training_set.py file.