[jira] [Updated] (IGNITE-4572) Machine Learning: Develop distributed algebra support for dense and sparse data sets.
[ https://issues.apache.org/jira/browse/IGNITE-4572?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Oleg Ignatenko updated IGNITE-4572: --- Component/s: (was: general) ml > Machine Learning: Develop distributed algebra support for dense and sparse > data sets. > - > > Key: IGNITE-4572 > URL: https://issues.apache.org/jira/browse/IGNITE-4572 > Project: Ignite > Issue Type: Task > Components: ml >Reporter: Nikita Ivanov >Assignee: Nikita Ivanov > Labels: gsoc2017 > Fix For: 2.0 > > > 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. -- This message was sent by Atlassian JIRA (v6.3.15#6346)
[jira] [Updated] (IGNITE-4572) Machine Learning: Develop distributed algebra support for dense and sparse data sets.
[ https://issues.apache.org/jira/browse/IGNITE-4572?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anton Vinogradov updated IGNITE-4572: - Fix Version/s: 2.0 > Machine Learning: Develop distributed algebra support for dense and sparse > data sets. > - > > Key: IGNITE-4572 > URL: https://issues.apache.org/jira/browse/IGNITE-4572 > Project: Ignite > Issue Type: Task > Components: general >Reporter: Nikita Ivanov >Assignee: Nikita Ivanov > Labels: gsoc2017 > Fix For: 2.0 > > > 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. -- This message was sent by Atlassian JIRA (v6.3.15#6346)
[jira] [Updated] (IGNITE-4572) Machine Learning: Develop distributed algebra support for dense and sparse data sets.
[ https://issues.apache.org/jira/browse/IGNITE-4572?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Denis Magda updated IGNITE-4572: 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. was:This is the base functionality for adding support for future ML capabilities. > Machine Learning: Develop distributed algebra support for dense and sparse > data sets. > - > > Key: IGNITE-4572 > URL: https://issues.apache.org/jira/browse/IGNITE-4572 > Project: Ignite > Issue Type: Task > Components: general >Reporter: Nikita Ivanov >Assignee: Nikita Ivanov > Labels: gsoc2017 > > 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. -- This message was sent by Atlassian JIRA (v6.3.15#6346)
[jira] [Updated] (IGNITE-4572) Machine Learning: Develop distributed algebra support for dense and sparse data sets.
[ https://issues.apache.org/jira/browse/IGNITE-4572?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Denis Magda updated IGNITE-4572: Summary: Machine Learning: Develop distributed algebra support for dense and sparse data sets. (was: Develop distributed algebra support for dense and sparse data sets.) > Machine Learning: Develop distributed algebra support for dense and sparse > data sets. > - > > Key: IGNITE-4572 > URL: https://issues.apache.org/jira/browse/IGNITE-4572 > Project: Ignite > Issue Type: Task > Components: general >Reporter: Nikita Ivanov >Assignee: Nikita Ivanov > Labels: gsoc2017 > > This is the base functionality for adding support for future ML capabilities. -- This message was sent by Atlassian JIRA (v6.3.15#6346)
[jira] [Updated] (IGNITE-4572) Machine Learning: Develop distributed algebra support for dense and sparse data sets.
[ https://issues.apache.org/jira/browse/IGNITE-4572?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Denis Magda updated IGNITE-4572: Labels: gsoc2017 (was: ) > Machine Learning: Develop distributed algebra support for dense and sparse > data sets. > - > > Key: IGNITE-4572 > URL: https://issues.apache.org/jira/browse/IGNITE-4572 > Project: Ignite > Issue Type: Task > Components: general >Reporter: Nikita Ivanov >Assignee: Nikita Ivanov > Labels: gsoc2017 > > This is the base functionality for adding support for future ML capabilities. -- This message was sent by Atlassian JIRA (v6.3.15#6346)
