MLlibApache 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.
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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.
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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
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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
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Audience
Schools searching for a solution to teach coding directly in the browser
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Audience
Data scientists and engineers wanting a machine learning solution for efficient data processing and analysis within the Apache Spark framework
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$200 one-time payment
Free Version
Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Supported
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Company InformationCodeGuppy
codeguppy.com
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Company InformationApache Software Foundation
Founded: 1995
United States
spark.apache.org/mllib/
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Categories |
Categories |
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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
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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
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