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Setup

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

How to use

  1. 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.
  2. Start from __nbml__.py and run block by block.
  3. 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

Users' manual

https://github.com/nbakas/nbml/blob/main/docs/__nbml__.pdf

for installation see Section 2.2

To run this on a Cluster

https://github.com/nbakas/nbml/blob/main/hpc/hpc_notes.md

To run this on google Colab

  1. 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!

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nbml: Computer Software for Data Analysis and Predictive Modelling with Artificial Intelligence Algorithms

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