CustomMachineLearningLibrary

This Library was a quarter long project where we create our own ML package. This includes:

• Parsing large data sets that cannot fit in memory
• Sampling and dividing data into training and test sets
• Implementions of basic ML algorithms utilizing Linear Algebra methods

I decided to create the project in Julia for the purposes of learning the language, which was v0.4 at the time. As a result, the codebase itself is was not created to make use of Julia's full functionality. In addition the actual implementations may be buggy and incomplete in some sections as a result of time constraints. This project is abandoned and should not be used under any circumstances, and is only for viewing purposes!

Dependencies:

This package depends on unregistered packages:

  #Unit Test Framework
  Pkg.clone("https://github.com/ajermaky/RunTests.jl")

Install

Pkg.clone("https://github.com/ajermaky/MLLibrary.jl")
Pkg.resolve()

Use:

To use this module:

  using MLLibrary

Different Branches

Previous Branches: Week1&2 Branch: week1_and_2_refactor Week 3 Branch: week3 Week 4 Branch: week_4

To see previous branches, simply do

  git fetch <branch_name>
  git checkout <branch_name>

Test:

To Run Unit Tests:

  Pkg.test("MLLibrary")

To run custom test that regenerates resource files:

  cd("~/.julia/v0.4/MLLibrary")
  include("test/high_level_tests/Statistics.jl")
  include("test/high_level_tests/KNeighbors.jl")
  include("test/high_level_tests/LinearRegression.jl")
  include("test/high_level_tests/KMeans.jl")

Unintsall

  Pkg.rm("MLLibrary.jl")