Machine Learning Algorithms

This repository implements some commonly used machine learning algorithms. Currently, decision trees and random forests have been implemented.

A neural network module is currently being developed.

Dependencies

The following dependencies need to be installed before the code can be run.

  • g++ compiler version 11.4.0

  • cmake version 3.22.1

  • Sphinx 2.2.11-id64-release (95ae9a6)

  • doxygen version 1.9.1

  • OpenMP version 4.5

  • python 3

The OpenMP dependency is used for multi-threading and is optional.

The following python packages need to be installed from the Python Package Index:

  • sphinx-rtd-theme

  • myst-parser

  • breathe

The code has only been tested on Ubuntu 22.04.4 LTS on Windows Subsystem for Linux 2.

Installation Instructions

  1. Install the necessary dependencies mentioned in the previous section.

  2. Clone the repository from the github page.

  3. Create a build directory in the top level machine-learning folder

mkdir build

  1. Enter the build directory and run the command ```cmake ..``.

  2. Run make.

Procedure to run the code

  1. Specify the number of OpenMP threads. This step is only required if multi-threading is being used:

export OMP_NUM_THREADS=4

  1. Set the desired input parameter values in a json file following the example on the github page.

  2. Navigate to the build directory described in the previous section.

  3. Run a command similar to the following:

src/ml [PATH_TO_JSON_INPUT]