Local Installation

This installation is tested for a Mac (M4 / Sequia) using VSCode. First you need to install mini-conda.

Install mini-conda (if not already installed)

We choose the mini-conda version of anaconda, since it is much smaller and faster to install. See https://docs.anaconda.com/miniconda/install/#quick-command-line-install to install mini-conda (based on your operating system).

Activate conda

source ~/miniconda3/bin/activate

Activate conda environment

Activate the conda enviroment in the project folder:

conda create --prefix ./env python=3.10
conda activate ./env

Install the required packages (in Conda)

conda install numpy pandas matplotlib seaborn scikit-learn jupyterlab

Install the required packages (in pip)

For pytorch see https://pytorch.org/get-started/locally/

pip install torch torchvision torchaudio keras

Testing the installation

Open the notebooks/00_test_local_installation.ipynb and run the cells. At the beging your are asked to choose a python enviroment. Please choose the conda enviromet like in the screenshot below. It might happen that there is no environment to pick, then it could help to first install the suggested extensions of vsCode (jupyter notebook, python).

🚧 WORK IN PROGRESS 🚧 below that

Installation on a Windows machine

Installation auf laptop mit Anaconda Beate’s laptop: rufe anaconda prompt auf, gehe in C:\Users\sick\Documents\GitHub\dlwbl_eth25> und dann Commands
Ab “Activate conda environment” ausführen.

Creating a yaml file for easy installation

Save the environment [Optional]

conda env export --no-builds > environment.yml

In the evirnoment.yml you need to change the name of the environment to

Install the environment from the environment.yml file [Optional]

Instead of installing the packages one by one, you can also install the environment from the environment.yml file.

conda env create -f environment.yml