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

2017-04-14 Thread JIRA 

[ 
https://issues.apache.org/jira/browse/IGNITE-4572?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15968776#comment-15968776
 ] 

Alper Çakan commented on IGNITE-4572:
-

[~dmagda]

I'm so sorry for my very late reply.

Thank you and Mr. Ivanov very much for your help!

> 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.



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

2017-04-10 Thread ASF GitHub Bot (JIRA) 

[ 
https://issues.apache.org/jira/browse/IGNITE-4572?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15962686#comment-15962686
 ] 

ASF GitHub Bot commented on IGNITE-4572:


GitHub user ybabak opened a pull request:

https://github.com/apache/ignite/pull/1764

ML: distributed algebra

Apache ticket: https://issues.apache.org/jira/browse/IGNITE-4572

You can merge this pull request into a Git repository by running:

$ git pull https://github.com/nivanov/ignite master

Alternatively you can review and apply these changes as the patch at:

https://github.com/apache/ignite/pull/1764.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

This closes #1764


commit e74b7f1b8baee835fc8f08a97860bc88f3b38cea
Author: Yury Babak 
Date:   2017-03-06T14:45:17Z

IGN-6530:
   implemented first distributed test

commit 729fa83fc0525929e4837c6d20df04e28206b54e
Author: Yury Babak 
Date:   2017-03-06T14:45:24Z

Merge remote-tracking branch 'origin/master'

commit 55d90d879d37347880d968ccab36ac7692d92a56
Author: Yury Babak 
Date:   2017-03-06T14:48:32Z

IGN-6530:
   fixed typo

commit a99f44e881d18398b3cc097e9e4f0338fe0451a7
Author: Yury Babak 
Date:   2017-03-06T14:54:23Z

IGN-6530:
   fixed typo

commit 100d8281b89ff1be5cfded571964e51e71411e1c
Author: Yury Babak 
Date:   2017-03-06T15:18:21Z

IGN-6530:
   changed cluster size

commit 0e8262c052ce1a2271319dea6da11d756185a022
Author: Oleg Ignatenko 
Date:   2017-03-06T15:40:58Z

IGN-6530 wip
- ConstantVector testing wip
-- verified with diffs overview, clean rebuild and execution of unit tests

commit 7b311b81758607633d9635d8ba5c829af8875b05
Author: Oleg Ignatenko 
Date:   2017-03-06T15:43:49Z

IGN-6530 wip
- ConstantVector testing wip
-- verified with diffs overview, clean rebuild and execution of unit tests

commit 9e9434c87e4874737464695f1e3f781c41f2b491
Author: Oleg Ignatenko 
Date:   2017-03-06T16:14:16Z

IGN-6530 wip
- ConstantVector testing and implementation completed
-- verified with diffs overview, clean rebuild and execution of unit tests

commit 160edca592270499bfc107db22e226d4730dbf37
Author: Oleg Ignatenko 
Date:   2017-03-06T16:15:36Z

IGN-6530 wip
- ConstantVector testing and implementation completed // removed unused 
imports
-- verified with diffs overview, clean rebuild and execution of unit tests

commit 1f90b8bb394a62b616968349182b12e867ea6ed6
Author: Oleg Ignatenko 
Date:   2017-03-06T16:31:25Z

IGN-6530 wip
- DRY in Vector test fixtures // per self-review
-- verified with diffs overview, clean rebuild and execution of unit tests

commit 97071f5950812e4f0dbf822ea5a6dd7c780e9ed3
Author: Yury Babak 
Date:   2017-03-06T16:40:57Z

IGN-6530:
   increased test coverage for DelegatingVector

commit 6729c24b80088fd1537896a819d4ad5f5a16a10d
Author: Yury Babak 
Date:   2017-03-06T16:41:30Z

Merge remote-tracking branch 'origin/master'

# Conflicts:
#   
modules/core/src/test/java/org/apache/ignite/math/impls/vector/VectorImplementationsFixtures.java

commit ee9c8d89ff0adb0422e5352df99503ed12254d10
Author: Yury Babak 
Date:   2017-03-06T16:43:06Z

IGN-6530:
   fix for merge

commit 10b44fcd8d8a66d0413610c0a9d35e71e8f96556
Author: Yury Babak 
Date:   2017-03-06T17:30:29Z

IGN-6530:
   increased test coverage for DenseLocalOffHeapMatrix

commit a403bf4a160e44eb0822c8e5462851d7dee37ce4
Author: Yury Babak 
Date:   2017-03-06T18:08:00Z

IGN-6530:
   increased test coverage for vector externalization

commit 77178eed393db9dee12a5bdb2dd442ba9a814be9
Author: Yury Babak 
Date:   2017-03-06T18:21:20Z

IGN-6530:
   added null checks

commit b219bf65ef511fd675b37c180735fa1bec987a8a
Author: Nikita Ivanov 
Date:   2017-03-06T19:09:51Z

WIP.

commit 0085060dc77d2a886b05372d2baa9bb96cd7ce80
Author: Nikita Ivanov 
Date:   2017-03-06T19:15:00Z

Merge branch 'master' of https://github.com/nivanov/ignite

commit 75cc5cbe135dfd95c1fe3685c8ea66e1c44aa00f
Author: Nikita Ivanov 
Date:   2017-03-06T19:16:59Z

WIP.

commit ddf27ad48cbadee13bbad733f674a1eb54920a11
Author: Nikita Ivanov 
Date:   2017-03-06T22:03:11Z

WIP.

commit 6c79447dd6e0bfbf6bd9a46a6c5693f37178a992
Author: Nikita Ivanov 
Date:   2017-03-06T23:00:10Z

WIP.

commit 35cc7ec6f54d294b4bff9bcdbbbc884785db2586
Author: Nikita

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

2017-04-02 Thread Denis Magda (JIRA) 

[ 
https://issues.apache.org/jira/browse/IGNITE-4572?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15952882#comment-15952882
 ] 

Denis Magda commented on IGNITE-4572:
-

[~anantbietec], please join the discussion on the dev list below where Nikita 
listed a basic overview of the tasks to work on:
http://apache-ignite-developers.2346864.n4.nabble.com/Adding-ML-to-Ignite-IGNITE-4572-td13936.html

> 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.



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

2017-04-02 Thread Anant Khandelwal (JIRA) 

[ 
https://issues.apache.org/jira/browse/IGNITE-4572?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15952548#comment-15952548
 ] 

Anant Khandelwal commented on IGNITE-4572:
--

Hi i am Anant khandelwal currently pursuing mastes in the area of machine 
learning and numerical optimization I am interested in this project as i have 
recently modify the map algorithm through the use of HYpersphere I am a student 
at IIT delhi.I want to know what to write on the proposal as the details are 
very less It would be of great help if someone guides me my mailid 
-anantbie...@gmail.com
 

> 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.



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

2017-03-29 Thread Nikita Ivanov (JIRA) 

[ 
https://issues.apache.org/jira/browse/IGNITE-4572?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15947256#comment-15947256
 ] 

Nikita Ivanov commented on IGNITE-4572:
---

Alper - we are very close to "pull request" our preliminary work into ignite 
2.0 (finger crossed it will make it into it). Once we have it available in the 
main ignite 2.0 branch there will be plenty of interesting tasks to tackle. 
Stay tuned on this ticket!

> 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.



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

2017-03-28 Thread Denis Magda (JIRA) 

[ 
https://issues.apache.org/jira/browse/IGNITE-4572?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15945657#comment-15945657
 ] 

Denis Magda commented on IGNITE-4572:
-

Here is a special discussion on the dev list:
http://apache-ignite-developers.2346864.n4.nabble.com/Adding-ML-to-Ignite-IGNITE-4572-td13936.html

[~nivanov], the feature owner and GSOC - 2017 can give more details on this.

> 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.



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

2017-03-28 Thread JIRA 

[ 
https://issues.apache.org/jira/browse/IGNITE-4572?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15945585#comment-15945585
 ] 

Alper Çakan commented on IGNITE-4572:
-

Hi,

I am Alper. I am a computer engineering and mathematics (double major) student 
with great interest in machine learning. I wish to participate in GSOC - 2017 
and I've been interested in this "issue" for a while. Can you please help me 
about where I need to start from?

Thank you.

> 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.



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

2017-03-15 Thread m kranthi kumar reddy (JIRA) 

[ 
https://issues.apache.org/jira/browse/IGNITE-4572?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15925847#comment-15925847
 ] 

m kranthi kumar reddy commented on IGNITE-4572:
---

Hi [~nivanov]
I am a PG student from a reputed institute , I have previously done a project 
based on machine learning and I would like to work on this project .
I have knowledge on soft computing and data mining core concepts . Please help 
me to know more on this project. 
I hope to get onboard and learn a lot in the process.

thanks and regards.

> 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.



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