MLlib

MLlib

Apache Software Foundation
SparkHub

SparkHub

Decision Accelerator
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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. ​

About

SparkHub is a software tool that provides team process, structure and tools to drive collaboration among stakeholders. SparkHub is used to curate existing content (facts, evidence, data) and structure it in a hierarchical, decision-forcing manner. This approach aims to create more compelling presentations that guide stakeholders towards a clear line of argumentation. The SparkHub Advantage: - Faster Decision Making: Streamlines the process for clearer conclusions. - Informed Choices: Ensures all decisions are backed by sound evidence and a comprehensive understanding of the situation. - Enhanced Collaboration: Fosters communication and engagement amongst stakeholders. - Improved Transparency: Provides clear visibility into the decision-making process for all involved.

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

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

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

Audience

Executive level, in charge of making decisions

Support

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

Support

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

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

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

Pricing

$0
Free Version 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 Supported
Live Online Not Supported
In Person Supported

Training

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

Company Information

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

Company Information

Decision Accelerator
Founded: 2022
United States
www.sparkhub.site/

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation

Alternatives

Spark

Spark

RebelWare
Apache Mahout

Apache Mahout

Apache Software Foundation
Amazon EMR

Amazon EMR

Amazon
RealDPG

RealDPG

RealCGR

Categories

Machine Learning Supported

Categories

Presentation Supported

Presentation Features

3D Objects Not Supported
Animations & Transitions Not Supported
Audio Content Not Supported
Collaboration Tools Supported
Content Library Not Supported
Customizable Templates Not Supported
Media Library Not Supported
Offline Editing Not Supported
Offline Presenting Not Supported
Screen Sharing Not Supported
Search/Filter Not Supported
Templates Not Supported
Video Content 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
Kubernetes Supported
MapReduce Supported
Python Supported
R Supported
Scala 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
Kubernetes Not Supported
MapReduce Not Supported
Python Not Supported
R Not Supported
Scala Not Supported
Claim MLlib and update features and information
Claim MLlib and update features and information
Claim SparkHub and update features and information
Claim SparkHub and update features and information