README.markdown

Machine Learning 4 Ruby

Description

A Ruby based library of Maching Learning algorithms.

Supports:

• Least Squares Linear Regression

Installation

gem install ml4r

Requirements

The entire library is built using SWIG and as such it requires the boost c++ library.
To install on ubuntu / debian distros
    sudo apt-get install libboost-dev

To install on Mac OS/X you can use either of the following depending on whether you prefer macports or homebrew
    sudo port install boost
     OR
    sudo brew install boost

To install on Windows, you'll have to download and unzip the source yourself (sorry)
    http://www.boost.org/users/download/#live

Usage

require 'ml4r'
regression = Ml4r::OLSLinearRegression.new([1.0, 2.0, 3.0], [1.0, 2.0, 3.0])

puts regression.getParameterEstimates()     # => [[0.9999999999999993], 1.5543122344752192e-15]
puts regression.getRSquared()               # => 1.0
puts regression.getFittedYs()               # => [1.0000000000000009,2.0,3.0]
puts regression.getPredictedYs()            # => [1.0000000000000053,2.0,3.0]
puts regression.getSSquared()               # => 7.888609052210118e-31
puts regression.getFstatistic()             # => 2535301200456456600000000000000.0
puts regression.getTstatistics()            # => [1592262918131443.0, 1.1456439237389604]
puts regression.getStandardErrors()         # => [6.280369834735097e-16, 1.3567149463006932e-15]
puts regression.getPressStatistic()         # => 2.8398992587956324e-29
puts regression.getPresarStatistic()        # => 0.0
puts regression.getAdjustedRSquared()       # => 1.0
puts regression.getRSquaredPrediction()     # => 1.0