MLlib

MLlib

Apache Software Foundation
sparkPRO

sparkPRO

Quality Early Years
+
+

Related Products

  • Google Cloud Platform
    61,049 Ratings
    Visit Website
  • TIMi
    68 Ratings
    Visit Website
  • Runpod
    230 Ratings
    Visit Website
  • Fraud.net
    56 Ratings
    Visit Website
  • Google Cloud Speech-to-Text
    366 Ratings
    Visit Website
  • Google AI Studio
    41 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    999 Ratings
    Visit Website
  • Google Cloud BigQuery
    2,027 Ratings
    Visit Website
  • Qloo
    23 Ratings
    Visit Website
  • Bridge
    542 Ratings
    Visit Website

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

sparkPRO is designed to be efficient and promote the well-being of a team in any setting. sparkPRO is more than a learning journey; the features support your team with the Early Year Foundation Stage and curriculum delivery. A leading EYFS curriculum software package, sparkPRO organizes staff time, systematizes procedures, provides ongoing EYFS assessment with a focus on quality during delivery. It provides incredible financial savings, operationally by cutting down on planning, observation, assessment and recording times. Tangibly you will save on ink and paper costs. sparkPRO not only incorporates the whole of our sparkESSENTIAL package, it also includes additional features and advanced reporting options. Supports whole team to deliver a curriculum and ‘get it right’ for each child, assessment, planning, recording and evaluating personal practice. Support your staff welfare, manage time, increase standards, allow more time to meet individual needs.

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 in need of a solution to promote the well being of a team in any setting

Support

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

Support

Phone Support Supported
24/7 Live Support 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

Quality Early Years
Founded: 2010
United Kingdom
www.sparkearlyyears.co.uk/spark-pro-old/

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation

Alternatives

Apache Mahout

Apache Mahout

Apache Software Foundation
Amazon EMR

Amazon EMR

Amazon
Edna

Edna

Flo Design
Kindiedays

Kindiedays

Century Moose

Categories

Machine Learning Supported

Categories

Child Care Supported

Child Care Features

Billing & Invoicing Not Supported
Calendar Management Not Supported
Check-in / Check-out Not Supported
Child Care Center Not Supported
Daily Reports Supported
Employee Management Not Supported
Food Program Records Not Supported
For Preschools Not Supported
Home-Based Not Supported
Immunization Records Not Supported
Lesson Plan Management Supported
Mailing List Management Not Supported
Menu Planning Not Supported
Online Registration Not Supported
Parent / Child Records Supported
Parent Portal Not Supported
Payment Processing Not Supported
Photo Gallery Not Supported
Text Messaging Not Supported
Volunteer Management Not Supported
Wait List Management 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 sparkPRO and update features and information
Claim sparkPRO and update features and information