TP3: Support Vector Machines (SVM)

(20232Q) 72.75 - Aprendizaje Automático (Machine Learning) - Comisión: S

Configuration

Installation guide

1. Clone the repository.

   git clone https://github.com/prausela/svm.git
   cd svm

2. Create a Python virtual environment.

   python -m venv env

3. Activate the virtual environment and install the dependencies.

   1. For Windows

      ./env/Scripts/Activate.ps1
      pip install -r requirements.txt

   2. For Linux / MacOS

      ./env/Scripts/activate
      pip install -r requirements.txt

4. Run the program.

   python ej2_color_img_segmentation.py