A Machine Learning tutorial on how to build your Flare and CME predictor at the 1st European Solar Physics Division (ESPD) summer school: Energisation and heating in the solar plasma 29 April - 3 May 2024 Dubrovnik, Croatia. Google slides with the content available in here.
To run this notebook locally, we suggest that you create a new conda environement using the environment.yml file in this repository. This can be done by first cloning this repository i.e. git clone https://github.com/cdiazbas/ESPD2024 and then creating a new environment as such from the ESPD2024 folder:
$ conda env create -f environment.yml
$ conda activate espd_machinelearning
$ jupyter lab
The jupyter lab will open our repository with all the notebooks in your browser.
If you already have a conda environment, simply install the packages using pip install -r requirements.txt.
If you need to remove the environment, simply run the following command: conda env remove -n espd_machinelearning.
You can run the notebooks in this repository using Google Colab by clicking on the following links:
Remember that changes in the notebooks will not be saved, unless you copy the notebooks to your Google Drive.
If you want you can run this notebook using Binder by clicking on this link:
