Signal type classifier

Setup environment

• run setup.py to create virtual environment
• activate environment with generated script in {venv name}/Scripts/activate
• then install requred modules with pip install -r requirements.txt comment

Data setup

• Generating data:
  • enter data-gen directory
  • generate the data by running data-gen.py with uncommented generate() function in main
• Running IA:
  • enter network directory
  • run network.py

Creating your own Pattern

If you have an idea to expande model with new, more deficult signals, all you have to do is to create a new class that will inherits from SignalBase and override get_sample(self, arg: float) -> float method.