Pro5D - Klassifikation von Sonneneruptionen mittels Machine Learning und e-Callisto Netzwerk

Dieses Projekt wird im Rahmen der Studiengangs B.Sc. Data Science der Fachhochschule Nordwestschweiz bearbeitet.

Projektarbeiter

Dieses Projekt wird von folgenden Studenten bearbeitet:

Name	GitHub Handle
Patrick Schürmann	@patschue
Gabriel Torres Gamez	@gabrieltorresgamez

Taskboard

Hier geht es zum Projekt Taskboard mit allen Tasks und Issues:

Link zum Taskboard

Zotero

Hier geht es zu unserer Zotero Gruppe:

Link zu Zotero

Dataset

Hier geht es zum 15 Minuten Dataset: Link zum Dataset

Notiz: Der Datensatz wird bei einigen Notebooks automatisch heruntergeladen.

DagsHub

Hier geht es zu unserer DagsHub Organisation:

Link zur Organisation

Repository Setup Instructions

1. Clone the repo.
2. Run make reqs to install required python packages.

If you want to use DagsHub:

3. Setup the DVC credentials using DagsHub.
4. Run make pull to pull the data from DagsHub.
5. You're ready to start developing!

Datamanagement with DagsHub

The data in this repo is managed via DVC. Here are some useful commands:

• make pull - Pulls the data from DagsHub.
• make relink - After changes in the DVC Folders (data) this command relinks the files in the repo.
• make push - Pushes the data to DagsHub.

Before committing changes to the data folder, make sure to run make relink to update the links to the data. Afterwards, add, commit and push the changes to the repo (using git). Finally, run make push to push the data to DagsHub.

Projekt Organisation

├── .dvc               <- DVC Settings, don't touch.
├── data
│   ├── processed      <- The final, canonical data sets for modeling.
│   └── raw            <- The original, immutable data dump.
├── notebooks          <- Jupyter notebooks. Naming convention is a number (for ordering)
│                         and a short `-` delimited description, e.g.
│                         `01-initial-data-exploration`.
├── references         <- Data dictionaries, manuals, and all other explanatory materials.
├── slurm              <- Slurm scripts for running the code on the i4Ds cluster.
├── src                <- Source code for use in this project.
├── .dvcignore         <- Files and directories to ignore by DVC.
├── .gitignore         <- Files and directories to ignore by Git.
├── data.dvc           <- DVC data/ folder registry.
├── LICENSE            <- GNU General Public License v3.0.
├── Makefile           <- Makefile with commands.
├── params.yml        <- The parameters for the data pipeline.
├── README.md          <- The top-level README for developers using this project.
└── requirements.txt   <- The requirements file for reproducing the analysis environment.