MLlib

MLlib

Apache Software Foundation
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About

Welcome to CodeGuppy, a p5.js-enhanced JavaScript coding platform for middle and high-school students; used by schools around the world. Learn about pixels, resolution, and coordinates, important computer science concepts widely used in CodeGuppy. Expressions and variables are the core of any programming language. Learn about these JavaScript concepts using a fun lesson. Create new JavaScript 'instructions' and achieve code modularization through the use of functions. In this lesson, you'll recap variables, expressions, and functions and learn about the concept of strings. Draw colored lines, circles, and other shapes with the awesome artist program. Learn how to recreate this game that will offer you hours of entertainment. Visualize what happens in computer memory during a common sort operation. Learn how to how to create your own custom clone of this game. Create amazing drawings and texts using colored line art.

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 Not Supported
Linux Not Supported
Cloud 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

Schools searching for a solution to teach coding directly in the browser

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

$200 one-time payment
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

CodeGuppy
codeguppy.com

Company Information

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

Alternatives

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation
Sumocode

Sumocode

Sumo Apps
Apache Mahout

Apache Mahout

Apache Software Foundation
Amazon EMR

Amazon EMR

Amazon

Categories

Study Tools Supported

Categories

Machine Learning Supported

Integrations

Amazon EC2 Not Supported
Apache Cassandra Not Supported
Apache HBase Not Supported
Apache Hive Not Supported
Apache Mesos Not Supported
Apache Spark Not Supported
Hadoop Not Supported
Java Not Supported
JavaScript Supported
Kubernetes Not Supported
MapReduce Not Supported
Microsoft PowerPoint Supported
P5 Supported
Python Not Supported
R Not Supported
Scala Not Supported

Integrations

Amazon EC2 Supported
Apache Cassandra Supported
Apache HBase Supported
Apache Hive Supported
Apache Mesos Supported
Apache Spark Supported
Hadoop Supported
Java Supported
JavaScript Not Supported
Kubernetes Supported
MapReduce Supported
Microsoft PowerPoint Not Supported
P5 Not Supported
Python Supported
R Supported
Scala Supported
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