MLlib

MLlib

Apache Software Foundation
+
+

Related Products

  • Source Defense
    5.0 out of 5 stars 7 Ratings
    Visit Website for Source Defense
  • Apify
    4.8 out of 5 stars 1,859 Ratings
    Visit Website for Apify
  • NodeMaven
    4.8 out of 5 stars 1,095 Ratings
    Visit Website for NodeMaven
  • Gaffa
    5.0 out of 5 stars 5 Ratings
    Visit Website for Gaffa
  • Feroot
    4.9 out of 5 stars 33 Ratings
    Visit Website for Feroot
  • cside
    4.9 out of 5 stars 37 Ratings
    Visit Website for cside
  • RAD PDF
    5.0 out of 5 stars 3 Ratings
    Visit Website for RAD PDF
  • Highcharts
    4.5 out of 5 stars 122 Ratings
    Visit Website for Highcharts
  • SurveyJS
    4.8 out of 5 stars 64 Ratings
    Visit Website for SurveyJS
  • AdRem NetCrunch
    4.6 out of 5 stars 165 Ratings
    Visit Website for AdRem NetCrunch

About

Underneath that awkward Java-esque patina, JavaScript has always had a gorgeous heart. CoffeeScript is an attempt to expose the good parts of JavaScript in a simple way. The golden rule of CoffeeScript is: “It’s just JavaScript.” The code compiles one-to-one into the equivalent JS, and there is no interpretation at runtime. You can use any existing JavaScript library seamlessly from CoffeeScript (and vice-versa). The compiled output is readable, pretty printed, and tends to run as fast or faster than the equivalent handwritten JavaScript. Most modern JavaScript features that CoffeeScript supports can run natively in Node 7.6+, meaning that Node can run CoffeeScript’s output without any further processing required. This list may be incomplete, and excludes versions of Node that support newer features behind flags; please refer to node.green for full details. You can run the tests in your browser to see what your browser supports.

About

​Apache Spark's MLlib is a scalable machine learning library that integrates seamlessly with Spark's APIs, supporting Java, Scala, Python, and R. It offers a comprehensive suite of algorithms and utilities, including classification, regression, clustering, collaborative filtering, and tools for constructing machine learning pipelines. MLlib's high-quality algorithms leverage Spark's iterative computation capabilities, delivering performance up to 100 times faster than traditional MapReduce implementations. It is designed to operate across diverse environments, running on Hadoop, Apache Mesos, Kubernetes, standalone clusters, or in the cloud, and accessing various data sources such as HDFS, HBase, and local files. This flexibility makes MLlib a robust solution for scalable and efficient machine learning tasks within the Apache Spark ecosystem. ​

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Developers searching for a a little language solution that compiles into JavaScript

Audience

Data scientists and engineers wanting a machine learning solution for efficient data processing and analysis within the Apache Spark framework

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Supported

Company Information

CoffeeScript
coffeescript.org

Company Information

Apache Software Foundation
Founded: 1995
United States
spark.apache.org/mllib/

Alternatives

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation
Apache Mahout

Apache Mahout

Apache Software Foundation
PhpStorm

PhpStorm

JetBrains
4.2 out of 5 stars
Amazon EMR

Amazon EMR

Amazon
Nova

Nova

Panic
1.0 out of 5 stars

Categories

Categories

Machine Learning Supported

Integrations

Apache HBase Not Supported
Apache Mesos Not Supported
Apache Spark Not Supported
Codacy Supported
CodeConvert Supported
CodeFactor Supported
CodePal Supported
Eclipse PHP Supported
Espresso Supported
Geany Supported
Hadoop Not Supported
JavaScript Supported
Kubernetes Not Supported
MapReduce Not Supported
PyCharm Supported
Python Not Supported
Refraction Supported
Replit Supported
RubyMine Supported
Scala Not Supported

Integrations

Apache HBase Supported
Apache Mesos Supported
Apache Spark Supported
Codacy Not Supported
CodeConvert Not Supported
CodeFactor Not Supported
CodePal Not Supported
Eclipse PHP Not Supported
Espresso Not Supported
Geany Not Supported
Hadoop Supported
JavaScript Not Supported
Kubernetes Supported
MapReduce Supported
PyCharm Not Supported
Python Supported
Refraction Not Supported
Replit Not Supported
RubyMine Not Supported
Scala Supported
Claim CoffeeScript and update features and information
Claim CoffeeScript and update features and information
Claim MLlib and update features and information
Claim MLlib and update features and information