pip install -r requirements.txt
pip3 install torch torchvision torchaudio
or alternatively, directly run https://github.com/nbakas/nbml/blob/main/src/install_libraries.py in Python
- Put all *.py files in any "ROOT_DIR" folder. Under "ROOT_DIR" there should be only one working xlsx file with the above Figure's structure.
- Start from __nbml__.py and run block by block.
- If you want to predict for new out-of-sample data, put the corresponding excel file in the "Predict" folder under ROOT_DIR, and run the part of the code first
https://github.com/nbakas/nbml/blob/main/docs/__nbml__.pdf
for installation see Section 2.2
https://github.com/nbakas/nbml/blob/main/hpc/hpc_notes.md
- Upload the code on https://colab.research.google.com/ 2. Split the code into cells (optional) 3. Upload all *.py files 4. Upload your dataset 5. Run the code!