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Make predictions of ICMEs by using the Nguyen model

https://github.com/gautiernguyen/Automatic-detection-of-ICMEs-at-1-AU-a-deep-learning-approach

Description

This repository contains a python script (main.py) which should be executed in a virtual environment in order to make prediction of ICMEs associated with a given start and stop times.

How this work ?

To do predictions of ICMEs you need to follow these steps:

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  • you should have python 3.6 already installed for example => C:\Users\...\Programs\Python\Python36
  • pip install virtualenv
  • python -m virtualenv -p="C:\Users\...\Programs\Python\Python36\python.exe" venvwithpyhon36
  • activate the virtual environment = venv\Scripts\activate
  • install the requirements = pip --no-cache-dir install -r path/icme/requirements.txt
  • run the script with the following arguments a start time start, a stop time stop and a destination folder path => python -m main path start stop

Dataset

The script will automatically download the dataset if it does not exist in the data/datasets folder but if you want to download it manually, it can be found here: https://www.kaggle.com/gautiernguyen/wind-data

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