LAML:Linear Algebra and Machine Learning to run in Windows

This is the Windows app named LAML:Linear Algebra and Machine Learning to run in Windows online over Linux online whose latest release can be downloaded as LAML-1.6.5.jar. It can be run online in the free hosting provider OnWorks for workstations.

 
 

Download and run online this app named LAML:Linear Algebra and Machine Learning to run in Windows online over Linux online with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.

- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

LAML:Linear Algebra and Machine Learning to run in Windows online over Linux online



DESCRIPTION:

LAML is a stand-alone pure Java library for linear algebra and machine learning. The goal is to build efficient and easy-to-use linear algebra and machine learning libraries. The reason why linear algebra and machine learning are built together is that full control of the basic data structures for matrices and vectors is required to have fast implementation for machine learning methods. Additionally, LAML provides a lot of commonly used matrix functions in the same signature to MATLAB, thus can also be used to manually convert MATLAB code to Java code.

Features

  • Stand-alone Java library, completely cross-platform
  • Built-in Linear Algebra (LA) library
  • Full control of matrices and vectors
  • Many general-purpose optimization algorithms
  • Fast implementation of Machine Learning (ML) methods
  • Matrix functions with almost the same signature to MATLAB
  • Well documented source code and friendly API, very easy to use


Programming Language

Java



This is an application that can also be fetched from https://sourceforge.net/projects/lamal/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.



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