MLlib

MLlib

Apache Software Foundation
Weka

Weka

University of Waikato
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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

Weka is a collection of machine learning algorithms for data mining tasks. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization. Found only on the islands of New Zealand, the Weka is a flightless bird with an inquisitive nature. The name is pronounced like this, and the bird sounds like this. Weka is open source software issued under the GNU General Public License. We have put together several free online courses that teach machine learning and data mining using Weka. The videos for the courses are available on Youtube. An exciting and potentially far-reaching development in computer science is the invention and application of methods of machine learning (ML). These enable a computer program to automatically analyze a large body of data and decide what information is most relevant. This crystallized information can then be used to automatically make predictions or to help people make decisions faster.

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

Companies, researchers and organizations in need of a machine learning solution for their projects

Support

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

Support

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

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 Supported
Live Online Not Supported
In Person Supported

Training

Documentation 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

University of Waikato
New Zealand
www.cs.waikato.ac.nz/ml/weka/

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation

Alternatives

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Neural Designer

Artelnics
Rapidminer

Rapidminer

Siemens
Apache Mahout

Apache Mahout

Apache Software Foundation
Amazon EMR

Amazon EMR

Amazon
IntelliHub

IntelliHub

Spotflock

Categories

Machine Learning Supported

Categories

Machine Learning Supported

Machine Learning Features

Deep Learning Not Supported
ML Algorithm Library Supported
Model Training Not Supported
Natural Language Processing (NLP) Not Supported
Predictive Modeling Supported
Statistical / Mathematical Tools Not Supported
Templates Not Supported
Visualization Supported

Integrations

AWS Marketplace Not Supported
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

AWS Marketplace Supported
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 Weka and update features and information
Claim Weka and update features and information