EnglishFrenchSpanish

Run servers | Ubuntu > | Fedora > |


OnWorks favicon

Smile download for Linux

Free download Smile Linux app to run online in Ubuntu online, Fedora online or Debian online

This is the Linux app named Smile whose latest release can be downloaded as 2.6.0.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named Smile 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 the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.

- 5. From the OnWorks Linux 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, install it and run it.

SCREENSHOTS

Ad


Smile


DESCRIPTION

Smile is a fast and comprehensive machine learning engine. With advanced data structures and algorithms, Smile delivers the state-of-art performance. Compared to this third-party benchmark, Smile outperforms R, Python, Spark, H2O, xgboost significantly. Smile is a couple of times faster than the closest competitor. The memory usage is also very efficient. If we can train advanced machine learning models on a PC, why buy a cluster? Write applications quickly in Java, Scala, or any JVM languages. Data scientists and developers can speak the same language now! Smile provides hundreds advanced algorithms with clean interface. Scala API also offers high-level operators that make it easy to build machine learning apps. And you can use it interactively from the shell, embedded in Scala. The most complete machine learning engine. Smile covers every aspect of machine learning.



Features

  • Classification, regression, clustering, association rule mining, feature selection, manifold learning
  • Multidimensional scaling, genetic algorithm, missing value imputation, efficient nearest neighbor search
  • Tokenizers, stemming, word2vec, phrase detection, part-of-speech tagging, keyword extraction
  • Named entity recognition, sentiment analysis, relevance ranking, taxomony
  • From special functions, linear algebra, to random number generators, statistical distributions and hypothesis tests
  • Smile provides an advanced numerical computing environment


Programming Language

Java


Categories

Machine Learning

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


Ad


Ad