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Flux rope prediction with machine learning building up on the code of Reiss et al. 2021

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mfpred

Flux rope prediction with machine learning building up on the code of Reiss et al. 2021, for real time deployment.

Copy these files into the data folder

Installation

Install python with miniconda:

on Linux:

  wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
  bash Miniconda3-latest-Linux-x86_64.sh

on MacOS:

  curl -O https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh
  bash Miniconda3-latest-MacOSX-x86_64.sh

go to a directory of your choice

  git clone https://github.com/cmoestl/mfpred

Create a conda environment using the "environment.yml", and activate the environment:

  conda env create -f environment.yml
  
  pip install requirements.txt      

  conda activate mfpred

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Flux rope prediction with machine learning building up on the code of Reiss et al. 2021

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