- 0.2.5 and master126.96.36.199.04.2
- 0.2.5 and masteriOSmacOS(Intel)macOS(ARM)LinuxtvOSwatchOS
Linear Algebra library for Swift language
LASwift provides most of linear algebra operations on vectors and matrices required to implement machine learning algorithms. Library syntax is inspired by Matlab matrix manipulation and Haskell linear algebra library 'hmatrix'. LASwift is using high-performant calculations provided by LAPACK, BLAS and vDSP through Apple Accelerate framework.
Following operations are fully supported for both vectors and matrices:
Linear algebra operations on matrices:
Following matrix manipulation operations are supported:
Refer to linalg-benchmarks project regarding basic benchmarking of latest version of LASwift against most popular linear algebra libraries (Haskell hmatrix, Python NumPy, Octave, Go gonum-matrix).
Install CocoaPods if not already available:
$ [sudo] gem install cocoapods $ pod setup
Go to the directory of your Xcode project, and Create and Edit your Podfile and add LASwift:
$ cd /path/to/MyProject $ touch Podfile $ edit Podfile source 'https://github.com/CocoaPods/Specs.git' platform :ios, '8.0' use_frameworks! pod 'LASwift', '~> 0.2.5'
Install into your project:
$ pod install
Open your project in Xcode from the .xcworkspace file (not the usual project file):
$ open MyProject.xcworkspace
You can now
import LASwift framework into your files.
Carthage is a decentralized dependency manager that automates the process of adding frameworks to your Cocoa application.
You can install Carthage with Homebrew using the following command:
$ brew update $ brew install carthage
LASwift into your Xcode project using Carthage, specify it in your
github "alexandertar/LASwift" >= 0.2.5
You can use The Swift Package Manager to install
LASwift by adding the proper description to your
import PackageDescription let package = Package( name: "YOUR_PROJECT_NAME", targets: , dependencies: [ .Package(url: "https://github.com/alexandertar/LASwift", versions: "0.2.5" ..< Version.max) ] )
Currently implemented functionality should be sufficient enough to implement machine learning algorithms (as this was an initial purpose). However, if you find something missing or wish to add extra features, feel free to submit pull-requests or create issues with proposals.
Alexander Taraymovich, email@example.com
LASwift is available under the BSD-3-Clause license. See the LICENSE file for more info.