[IGNITE-4572] Machine Learning: Develop distributed algebra support for dense and sparse data sets.

• Type: Task
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Fix Version/s: 2.0
• Component/s: ml
• Labels: gsoc2017
• Assignee: Nikita Ivanov
• Reporter: Nikita Ivanov
• Created: 19/Jan/17 16:02
• Updated: 20/Apr/17 15:30
• Resolved: 14/Apr/17 15:54

Description

Apache Ignite community has recently kicked off development of its new component - Apache Ignite Machine Learning Grid. The component will empower researchers, scientists, engineers and companies to train, deploy and execute machine learning models in a distributed fashion gaining significant performance benefits and making real the ability to apply machine learning for Big Data use cases in real-time or near real-time scenarios.

This is the base functionality for adding support for future ML capabilities. Subtasks will be created and linked to this ticket later on.

Issue Links

• is related to: IGNITE-5000 Rename Ignite Math module to Ignite ML module
• relates to: IGNITE-4964 Document Machine Learning Grid (Distributed Algebra Implementation)
• relates to: IGNITE-5040 ML examples
• relates to: IGNITE-5029 Ignite ML next steps
• relates to: IGNITE-5018 review and improve javadocs in ML module
• links to: GitHub Pull Request #1764