= Alglib
Ruby wrapper for Alglib libraries (http://www.alglib.net/).
First layer based on swig and a second on Ruby, for comfortable use.
== DESCRIPTION:
ALGLIB - is a multilingual collection of algorithms designed to solve problems in the field of numeric analysis and data processing. ALGLIB is distributed under a 3-clause BSD license. This license is unrestrictive and allows using the package both in open and proprietary programs and even relicensing the code (if the new license doesn't conflict with the terms of the 3-clause BSD license).
== FEATURES/PROBLEMS:
* Only Multiple regression, Logit Regression and Correlation implemented
== SYNOPSIS:
require 'alglib'
matrix=Matrix[[2,3,4],[2,5,5],[1,5,3],[4,6,5]]
lr=Alglib::LinearRegression.build_from_matrix(matrix)
=> #<Alglib::LinearRegression:0x7ffaf6c05dc0 @model=#<Alglib_ext::LinearModel:0x7ffaf6c05e60>, @cases=4, @report=#<Alglib_ext::LrReport:0x7ffaf6c05e10>, @ivars=2>
lr.coeffs
=> [0.585714285714286, -0.0142857142857142]
== REQUIREMENTS:
* A good compiler
== INSTALL:
sudo gem install alglib
== LICENSE:
The Source Codes are distributed under some non-restrictive software license, mostly under BSD (see Source Codes for specific terms and conditions).
Ruby wrapper for Alglib libraries (http://www.alglib.net/).
First layer based on swig and a second on Ruby, for comfortable use.
== DESCRIPTION:
ALGLIB - is a multilingual collection of algorithms designed to solve problems in the field of numeric analysis and data processing. ALGLIB is distributed under a 3-clause BSD license. This license is unrestrictive and allows using the package both in open and proprietary programs and even relicensing the code (if the new license doesn't conflict with the terms of the 3-clause BSD license).
== FEATURES/PROBLEMS:
* Only Multiple regression, Logit Regression and Correlation implemented
== SYNOPSIS:
require 'alglib'
matrix=Matrix[[2,3,4],[2,5,5],[1,5,3],[4,6,5]]
lr=Alglib::LinearRegression.build_from_matrix(matrix)
=> #<Alglib::LinearRegression:0x7ffaf6c05dc0 @model=#<Alglib_ext::LinearModel:0x7ffaf6c05e60>, @cases=4, @report=#<Alglib_ext::LrReport:0x7ffaf6c05e10>, @ivars=2>
lr.coeffs
=> [0.585714285714286, -0.0142857142857142]
== REQUIREMENTS:
* A good compiler
== INSTALL:
sudo gem install alglib
== LICENSE:
The Source Codes are distributed under some non-restrictive software license, mostly under BSD (see Source Codes for specific terms and conditions).