Re: Adding ML to Ignite, IGNITE-4572

Guys, a bit more details about the current state of ML lib and how we plan to release it. Currently IgniteML is separate module and use java8. We depends only on ignite-core module. So we think that we could release lib as sources. It should be much easier than provide our lib binary. -- View

Re: Adding ML to Ignite, IGNITE-4572

As far as I know Nikita wants to provide this documentation. -- View this message in context: http://apache-ignite-developers.2346864.n4.nabble.com/Adding-ML-to-Ignite-IGNITE-4572-tp13936p16542.html Sent from the Apache Ignite Developers mailing list archive at Nabble.com.

Re: Adding ML to Ignite, IGNITE-4572

Denis, Yes, this module already in apache master branch. Also I created ticket for module renaming, so we could discuss this renaming in IGNITE-5000 -- View this message in context: http://apache-ignite-developers.2346864.n4.nabble.com/Adding-ML-to-Ignite-IGNITE-4572-tp13936p16743.html Sent

Ignite ML, next steps (IGNITE-5029)

, Yury Babak. -- View this message in context: http://apache-ignite-developers.2346864.n4.nabble.com/Ignite-ML-next-steps-IGNITE-5029-tp17096.html Sent from the Apache Ignite Developers mailing list archive at Nabble.com.

Ignite ML status update

Hi Igniters, Here is the some update about Ignite ML. Last 2 month we working on a few new cool features. First of all it's decision tree algorithm with next step - random forest. Currently this feature under development by Artem Malykh. The same for the second major change - BLAS. BLAS is high

Re: Ignite ML status update

Dmitriy, I can do it. But as far as I know Oleg Ignatenko already wrote blog about Ignite ML. But it only about AI 2.0 and only on Russian(Habrahabr). So we could translate this post in English. And also I can write a blog about new features ML in AI 2.1 and mentioned features which we plan for

Re: Ignite ML, next steps (IGNITE-5029)

First of all thanks for this advice. And DSL/Scripting update: Actually it's a two separate features. The first is provide scripting from some web ui. I think we could use web-console as ui part and JSR 223 for scripting itself, Nashorn for JS and Jython for Python. And the second feature -

Ignite ML, DSL/Scripting (IGNITE-5065)

separate ml web console. If anyone know addition pros/cons for both ways - please advise. Thanks, Yury Babak. -- View this message in context: http://apache-ignite-developers.2346864.n4.nabble.com/Ignite-ML-DSL-Scripting-IGNITE-5065-tp17216.html Sent from the Apache Ignite Developers mailing

Re: Ignite ML, next steps (IGNITE-5029)

SGD. * Clustering visualization, maybe we don't need it. Please feel free to submit any other suggestions. Thanks, Yury Babak. -- View this message in context: http://apache-ignite-developers.2346864.n4.nabble.com/Ignite-ML-next-steps-IGNITE-5029-tp17096p17329.html Sent from the Apache Ignite Developers mailing list archive at Nabble.com.

Re: Ignite ML, next steps (IGNITE-5029)

Alexey, Thanks for this advice. We will refactor this matrix. I think that one dedicated cache for ML sparse distributed matrices will good solution. In that case we need implementation of giveNextCacheKeySet() logic foreach new matrix instead of new cache creation. -- View this message in

Re: Ignite ML, next steps (IGNITE-5029)

Update: I've created ticket for this: IGNITE-5109 <https://issues.apache.org/jira/browse/IGNITE-5109> . Regards, Yury Babak. -- View this message in context: http://apache-ignite-developers.2346864.n4.nabble.com/Ignite-ML-next-steps-IGNITE-5029-tp17096p17316.html Sent from the

Re: Ignite ML, next steps (IGNITE-5029)

sues.apache.org/jira/browse/IGNITE-5221> . Regards, Yury Babak. -- View this message in context: http://apache-ignite-developers.2346864.n4.nabble.com/Ignite-ML-next-steps-IGNITE-5029-tp17096p17651.html Sent from the Apache Ignite Developers mailing list archive at Nabble.com.

Re: Ignite ML, next steps (IGNITE-5029)

Hi, >From my point of view it's IGNITE-5113(k-means), IGNITE-5109(already done), IGNITE-5114(optimized distributed matrix arithmetic), IGNITE-5102(fix for fold/map behaviour) for sure and possibly the IGNITE-5059(Logistic regression) if we will have enough time before code freeze. Regards, Yury

Message.directType

Hi all! I want to create new custom implementation of org.apache.ignite.plugin.extensions.communication.Message and I want avoid conflicts in message type. So did we have the list of all reserved types? Thanks, Yury -- View this message in context:

Re: ML Example

Hi Akmal, Actually we have two version of k-means local and distributed. And you implemented example of local version. If you want to visualize cluster centers you could use Tracer like this: /for (Vector v:mdl.centers()) Tracer.showAscii(v);/ Unfortunately right now we don`t have good

Re: Should we take care of Java 9 in Ignite 2.0 scope?

It`s true, now building of ML cause pain because currently we need excess build of ignite-core using JDK 8. -- Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/

Ignite ML news

Hi Igniters! I want to provide some updates about current state of ml module, so let me introduce that we already have: * OLS lin regression(not so efficient in distributed case, but Alexey Zinoviev already working to fix that, IGNITE-6222). * K-means (IGNITE-5113). * Decision tree(almost done

Re: Ignite ML Models improvements

Vladisav, Thanks for this idea. I`m not sure that this is priority task but anyway I created separate ticket for it(IGNITE-6642). Regards, Yury. -- Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/

Re: Participation in the development of Apache Ignite

Hi all IGNITE-5246 (Fuzzy c-means) is the ticket that Ilya mentioned. It`s a fuzzy analog of k-means which we have already implemented. Ilya I agree with Denis, FCM should be the firts fuzzy algoritm in our ML module so you will be a pioneer in this area. I see few unimplemented features that

Re: Ignite ML news

Hi Denis, Sure, will do. Regards, Yury -- Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/

Re: GA Grid: Request to contribute GA library to Apache Ignite

Turik, 1) Yes, it`s correct. 2.a) Model API is available, Trainer API in PR(https://github.com/apache/ignite/pull/2936) which should be merged today or tomorrow. 2.b) Yes, Trainer generates Model. Here is the Trainer interface: public interface Trainer { public M train(T data); } Regards,

Re: Contribute ApacheIgnite

Hello Eugeniu, First of all thanks for your interest, we appreciate it. Please feel free to ask any questions about ticket, module and whole project. >From my side I want to provide advice to take a look on Trainer and Model API. Basically org.apache.ignite.ml.Model is a result of any ML

Re: IGNITE-7203 Java 8 by default

Hi, please check github review comments. Regards, Yury -- Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/

Re: Switching Java language level to 8

Hi, currently we use maven profile "ml" for all ML sources. So during this switching we could remove this profile and add ML module to the normal build chain. NB: we use this hack in example and yardstick modules. Also in examples we have the separate source folder(and profile) for non-ml java 8

Re: GA Grid: Request to contribute GA library to Apache Ignite

Also please check the coding guideline - https://cwiki.apache.org/confluence/display/IGNITE/Coding+Guidelines Code in PR should fits to this guideline. Regards, Yury -- Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/

Re: GA Grid: Request to contribute GA library to Apache Ignite

Turik, >From my point of view our first step is add GA Grid as is into package org.apache.ignite.ml.genetic in ML module. It shouldn't be a problem, but before this we should check that GA Grid fits to our codestyle. So please prepare pull-request with GA Grid. Also if nobody object I will

Re: GA Grid: Request to contribute GA library to Apache Ignite

Turik, For making pull-request you should perform the following steps: 1) create JIRA account(in case you dont have one) (https://issues.apache.org/jira) 1.1) write to dev-list and ask contributors permission. 2) assign the ticket which I`ve created for you

Re: Ignite ML dense distributed matrices

Alexey, I dont think that mixing distributed/local is a good idea unlike dense/sparse or blocks/rows/cols. Regards, Yury -- Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/

Re: Ignite ML dense distributed matrices

Artem, I think It`s a good idea. We could implement dense matrix as separate matrix, but what do you think about common distributed matrix with multiple possible storage strategies? Regards, Yury -- Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/

Re: GA Grid: Request to contribute GA library to Apache Ignite

Hi all, Please let me put some comments about GA Grid. Actually I like it, but currently it doesn't fit to our API. I`m not sure that we could merge GA Grid as is into ML module, but we see two possibilities. First is add GA Grid as separate module like ML module. Second is adapt this genetic

Re: GA Grid: Request to contribute GA library to Apache Ignite

Denis, Let me clarify. Firstly, here gene is a single model coefficient(neuron weight, etc), chromosomes - whole model representation. Secondly GA should be implementation of Trainer API for each ML algorithm such as regression, clusterization, NNs, etc. And last but not least genetic

Re: GA Grid: Request to contribute GA library to Apache Ignite

Turik, Basically we have two main concepts the model and the trainer. Each machine learning method generates some model which could predict some result based on learning dataset. This model is just a function and model training is minimization of loss function, difference between model

Re: Time and scope for Apache Ignite 2.4

Hi, As for ML - so far so good and from my point of view all mentioned tasks will be completed in this release. Regards, Yury -- Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/

Re: serializable versions of java 8 functional interfaces

Hello Alexandre, We already have serializable functional interfaces in ML module in package org.apache.ignite.ml.math.functions. Regards, Yury -- Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/

Re: serializable versions of java 8 functional interfaces

Currently for ml we have the following interfaces: * IgniteBiConsumer * IgniteBiFunction * IgniteConsumer * IgniteDoubleFunction * IgniteFunction * IgniteIntDoubleToDoubleBiFunction * IgniteIntIntToIntBiFunction * IgniteTriFunction * IntDoubleToVoidFunction * IntIntToDoubleFunction So we could

Re: Time and scope for Apache Ignite 2.4

Hi Denis, as for ML - we on track. For this release we have FCM, Decision tree, KNN, Model/Trainer API, Neural Network introduction and bunch of improvements and bugfixes. Also we slightly change our plan for NN. In this release we will add distributed(and local) MLP(multilayer perceptron)

Re: Apache Ignite 2.5 release: Can IGNITE-8041 be included?

Turik, This pull request looks good to me. So I reviewed and merged this example into master and 2.5 branches. Regards, Yury -- Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/

Re: [VOTE] Apache Ignite 2.5.0 RC1

+1 Checked build from sources and run several ML examples. Includes genetic algorithms. Regards, Yury -- Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/

Re: Time and scope for Apache Ignite 2.4

Denis, Yes, we have the main issue for NN introduction. The first implementation of NN for 2.4 release will be a MLP( multilayer perceptron ), with sub task - local implemeatation of MLP

Re: IGNITE-7203 Java 8 by default

As for _Licenses & Javadoc I already create https://issues.apache.org/jira/browse/IGNITE-7297 and will fix it ASAP. Regards, Yury -- Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/

Re: Next Steps: GA Grid: Request to contribute GA library to Apache Ignite

Denis, >From my point of view PR looks good and ready for merge. So we waiting notification from you that all paperwork is done. Regards, Yury. -- Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/

Re: Do we need ML profile in AI 2.4?

+1 Moreover, as far as I know in IGNITE-7203 (Java 8 by default) ml profile will be removed and sources will be moved into general folder in examples and yardstick modules. Regards, Yury -- Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/

Re: [ML] Machine Learning Pipeline Improvement

Sure, https://issues.apache.org/jira/browse/IGNITE-9158. Regards, Yury -- Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/

Desynchronization of true repo and github repo

Igniters, Few hours ago I pushed the commit into https://git-wip-us.apache.org/repos/asf/ignite But I dont see this commit in github repo, may be we have some problem with

Re: [ML] Machine Learning Pipeline Improvement

Alexey, I like this idea, this should improve usability of our ML module. Regards, Yury -- Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/

Re: [ML] IGNITE-9282 task

Hi Ravil, We appreciate your contribution. I looking forward to see your PR. Please don't hesitate to contact us if will have any questions about ML module. Regards, Yury -- Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/

Re: [ML] PR for ml-starter task IGNITE-9285

Ravil, Alexey, I for this task will run CI builds and review this task. After this I will merge this task. Ravil, You can create a your own account on our TeamCity server https://ci.ignite.apache.org/ Thanks, Yury -- Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/

Re: [ML] Tuning the hyper-parameters of an estimator/evaluator

Hi, Alexey. Yes, I think we need it. And if you are ready for this task I created it for you: https://issues.apache.org/jira/browse/IGNITE-8924 Regards, Yury -- Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/

Re: Next Steps: GA Grid: Request to contribute GA library to Apache Ignite

Turik, I've made a review, please check it on the github, there is a question about pom files there. Also please update your branch from master. At this point we almost ready for merge. Regards, Yury -- Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/

Re: [VOTE] Apache Ignite 2.4.0 RC1

+1 Checked Ignite ML: sources and binaries. Regards, Yury -- Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/

Re: Exploiting GP GPUs in Ignite ML

Hi, Andrey This is a very good question and a bit tricky one. To start with, one can argue that you already can use GPU in Ignite ML. This is because we support BLAS via netlib (IGNITE-5278) and netlib, in turn, can be configured to use NVBLAS, as explained in this library documentation:

Re: [ML] Remove Old FuzzyCMeans Implementation

Hi Alexey, Thats sounds reasonable for me especially if we have bugs in current implementation. So I agree to remove for FCM for now and return it in further release. Regards, Yury -- Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/

Re: GA Grid: Can IGNITE-8242 be include in 2.5 release?

/jira/browse/IGNITE-8181 (fix for javadoc) Andrey, if you ok with it I could cherry pick those tickets into 2.5 branch Regards, Yury Babak GridGain Systems On Fri, Apr 20, 2018 at 1:48 AM, Denis Magda <dma...@apache.org> wrote: > Yuri, Andrey, > > Could you have a look and inc

Re: What's about releasing Ignite 2.5 a bit earlier?

Hi, We already implemented LSQR for linear regression and SVM(support vector machine) algorithms. Also we implement new distributed Datasets. And we want to adapt all our algorithms to this new dataset API. So from my point of view we have enough time for those tasks. So I think that we could

Re: Next Steps: GA Grid: Request to contribute GA library to Apache Ignite

Turik, Denis Today GA Grid was merged into Apache Ignite. Regards, Yury -- Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/

Re: Next Steps: GA Grid: Request to contribute GA library to Apache Ignite

Turik, Also please remove pom.good.xml from ml module. Regards, Yury -- Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/

[jira] [Created] (IGNITE-5000) Rename Ignite Math module to Ignite ML module

Yury Babak created IGNITE-5000: -- Summary: Rename Ignite Math module to Ignite ML module Key: IGNITE-5000 URL: https://issues.apache.org/jira/browse/IGNITE-5000 Project: Ignite Issue Type: Task

[jira] [Created] (IGNITE-5029) Ignite ML next steps

Yury Babak created IGNITE-5029: -- Summary: Ignite ML next steps Key: IGNITE-5029 URL: https://issues.apache.org/jira/browse/IGNITE-5029 Project: Ignite Issue Type: Task Reporter

[jira] [Created] (IGNITE-5880) BLAS integration phase 2

Yury Babak created IGNITE-5880: -- Summary: BLAS integration phase 2 Key: IGNITE-5880 URL: https://issues.apache.org/jira/browse/IGNITE-5880 Project: Ignite Issue Type: Sub-task

[jira] [Created] (IGNITE-5925) Get row/col for matrices

Yury Babak created IGNITE-5925: -- Summary: Get row/col for matrices Key: IGNITE-5925 URL: https://issues.apache.org/jira/browse/IGNITE-5925 Project: Ignite Issue Type: Improvement

[jira] [Created] (IGNITE-6059) Use any distributed matrix in K-Means

Yury Babak created IGNITE-6059: -- Summary: Use any distributed matrix in K-Means Key: IGNITE-6059 URL: https://issues.apache.org/jira/browse/IGNITE-6059 Project: Ignite Issue Type: Improvement

[jira] [Created] (IGNITE-5777) BLAS integration

Yury Babak created IGNITE-5777: -- Summary: BLAS integration Key: IGNITE-5777 URL: https://issues.apache.org/jira/browse/IGNITE-5777 Project: Ignite Issue Type: Task Components: ml

[jira] [Created] (IGNITE-5724) Remove all autoboxing staff from the component.

Yury Babak created IGNITE-5724: -- Summary: Remove all autoboxing staff from the component. Key: IGNITE-5724 URL: https://issues.apache.org/jira/browse/IGNITE-5724 Project: Ignite Issue Type

[jira] [Created] (IGNITE-5725) Adopt TracerTest for TC builds.

Yury Babak created IGNITE-5725: -- Summary: Adopt TracerTest for TC builds. Key: IGNITE-5725 URL: https://issues.apache.org/jira/browse/IGNITE-5725 Project: Ignite Issue Type: Bug

[jira] [Created] (IGNITE-5723) Improve code quality for existing code.

Yury Babak created IGNITE-5723: -- Summary: Improve code quality for existing code. Key: IGNITE-5723 URL: https://issues.apache.org/jira/browse/IGNITE-5723 Project: Ignite Issue Type: Improvement

[jira] [Created] (IGNITE-5791) Block matrix Introduction

Yury Babak created IGNITE-5791: -- Summary: Block matrix Introduction Key: IGNITE-5791 URL: https://issues.apache.org/jira/browse/IGNITE-5791 Project: Ignite Issue Type: Sub-task

[jira] [Created] (IGNITE-5801) Externalization for offheap vectors/matrices

Yury Babak created IGNITE-5801: -- Summary: Externalization for offheap vectors/matrices Key: IGNITE-5801 URL: https://issues.apache.org/jira/browse/IGNITE-5801 Project: Ignite Issue Type: Bug

[jira] [Created] (IGNITE-5825) K-Means refactoring

Yury Babak created IGNITE-5825: -- Summary: K-Means refactoring Key: IGNITE-5825 URL: https://issues.apache.org/jira/browse/IGNITE-5825 Project: Ignite Issue Type: Bug Components: ml

[jira] [Created] (IGNITE-5824) Adjust precision in math unit tests.

Yury Babak created IGNITE-5824: -- Summary: Adjust precision in math unit tests. Key: IGNITE-5824 URL: https://issues.apache.org/jira/browse/IGNITE-5824 Project: Ignite Issue Type: Bug

[jira] [Created] (IGNITE-5827) Benchmarks refactoring

Yury Babak created IGNITE-5827: -- Summary: Benchmarks refactoring Key: IGNITE-5827 URL: https://issues.apache.org/jira/browse/IGNITE-5827 Project: Ignite Issue Type: Bug Components: ml

[jira] [Created] (IGNITE-5826) OLS refactoring

Yury Babak created IGNITE-5826: -- Summary: OLS refactoring Key: IGNITE-5826 URL: https://issues.apache.org/jira/browse/IGNITE-5826 Project: Ignite Issue Type: Bug Components: ml

[jira] [Created] (IGNITE-5828) Decompositions refactoring

Yury Babak created IGNITE-5828: -- Summary: Decompositions refactoring Key: IGNITE-5828 URL: https://issues.apache.org/jira/browse/IGNITE-5828 Project: Ignite Issue Type: Bug Components

[jira] [Created] (IGNITE-5856) BLAS integration phase 1

Yury Babak created IGNITE-5856: -- Summary: BLAS integration phase 1 Key: IGNITE-5856 URL: https://issues.apache.org/jira/browse/IGNITE-5856 Project: Ignite Issue Type: Sub-task

[jira] [Created] (IGNITE-5845) Benchmarks for ML algorithms.

Yury Babak created IGNITE-5845: -- Summary: Benchmarks for ML algorithms. Key: IGNITE-5845 URL: https://issues.apache.org/jira/browse/IGNITE-5845 Project: Ignite Issue Type: Improvement

[jira] [Created] (IGNITE-5844) Distributed versions of matrix decompositions

Yury Babak created IGNITE-5844: -- Summary: Distributed versions of matrix decompositions Key: IGNITE-5844 URL: https://issues.apache.org/jira/browse/IGNITE-5844 Project: Ignite Issue Type: New

[jira] [Created] (IGNITE-5846) Add support of distributed matrices for OLS regression.

Yury Babak created IGNITE-5846: -- Summary: Add support of distributed matrices for OLS regression. Key: IGNITE-5846 URL: https://issues.apache.org/jira/browse/IGNITE-5846 Project: Ignite Issue

[jira] [Created] (IGNITE-5847) API for Models

Yury Babak created IGNITE-5847: -- Summary: API for Models Key: IGNITE-5847 URL: https://issues.apache.org/jira/browse/IGNITE-5847 Project: Ignite Issue Type: New Feature Components: ml

[jira] [Created] (IGNITE-5799) Caching for some intermediate calcs

Yury Babak created IGNITE-5799: -- Summary: Caching for some intermediate calcs Key: IGNITE-5799 URL: https://issues.apache.org/jira/browse/IGNITE-5799 Project: Ignite Issue Type: Improvement

[jira] [Created] (IGNITE-5802) Fix all wrong TODO comments in component

Yury Babak created IGNITE-5802: -- Summary: Fix all wrong TODO comments in component Key: IGNITE-5802 URL: https://issues.apache.org/jira/browse/IGNITE-5802 Project: Ignite Issue Type: Bug

[jira] [Created] (IGNITE-5645) Locking mechanism for distributed matrices.

Yury Babak created IGNITE-5645: -- Summary: Locking mechanism for distributed matrices. Key: IGNITE-5645 URL: https://issues.apache.org/jira/browse/IGNITE-5645 Project: Ignite Issue Type: New

[jira] [Created] (IGNITE-5646) Use affinity keys for distributed matrice blocks

Yury Babak created IGNITE-5646: -- Summary: Use affinity keys for distributed matrice blocks Key: IGNITE-5646 URL: https://issues.apache.org/jira/browse/IGNITE-5646 Project: Ignite Issue Type

[jira] [Created] (IGNITE-5065) DSL/scription support

Yury Babak created IGNITE-5065: -- Summary: DSL/scription support Key: IGNITE-5065 URL: https://issues.apache.org/jira/browse/IGNITE-5065 Project: Ignite Issue Type: New Feature

[jira] [Created] (IGNITE-5112) Create OLS example

Yury Babak created IGNITE-5112: -- Summary: Create OLS example Key: IGNITE-5112 URL: https://issues.apache.org/jira/browse/IGNITE-5112 Project: Ignite Issue Type: Task Components: ml

[jira] [Created] (IGNITE-5113) K-means clustering

Yury Babak created IGNITE-5113: -- Summary: K-means clustering Key: IGNITE-5113 URL: https://issues.apache.org/jira/browse/IGNITE-5113 Project: Ignite Issue Type: New Feature Components

[jira] [Created] (IGNITE-5114) Parallalel plus/multiply matrix algorithms.

Yury Babak created IGNITE-5114: -- Summary: Parallalel plus/multiply matrix algorithms. Key: IGNITE-5114 URL: https://issues.apache.org/jira/browse/IGNITE-5114 Project: Ignite Issue Type

[jira] [Created] (IGNITE-5109) Refactoring for SparseDistributedMatrix

Yury Babak created IGNITE-5109: -- Summary: Refactoring for SparseDistributedMatrix Key: IGNITE-5109 URL: https://issues.apache.org/jira/browse/IGNITE-5109 Project: Ignite Issue Type: Bug

[jira] [Created] (IGNITE-5216) Add Stream API support to Ignite ML matrices.

Yury Babak created IGNITE-5216: -- Summary: Add Stream API support to Ignite ML matrices. Key: IGNITE-5216 URL: https://issues.apache.org/jira/browse/IGNITE-5216 Project: Ignite Issue Type: Task

[jira] [Created] (IGNITE-5217) Gradient descent

Yury Babak created IGNITE-5217: -- Summary: Gradient descent Key: IGNITE-5217 URL: https://issues.apache.org/jira/browse/IGNITE-5217 Project: Ignite Issue Type: Task Components: ml

[jira] [Created] (IGNITE-5220) Partial derivatives calculation.

Yury Babak created IGNITE-5220: -- Summary: Partial derivatives calculation. Key: IGNITE-5220 URL: https://issues.apache.org/jira/browse/IGNITE-5220 Project: Ignite Issue Type: New Feature

[jira] [Created] (IGNITE-5218) Decision trees

Yury Babak created IGNITE-5218: -- Summary: Decision trees Key: IGNITE-5218 URL: https://issues.apache.org/jira/browse/IGNITE-5218 Project: Ignite Issue Type: Task Components: ml

[jira] [Created] (IGNITE-5246) Fuzzy c-means (FCM)

Yury Babak created IGNITE-5246: -- Summary: Fuzzy c-means (FCM) Key: IGNITE-5246 URL: https://issues.apache.org/jira/browse/IGNITE-5246 Project: Ignite Issue Type: New Feature

[jira] [Created] (IGNITE-5280) SparseDistributedMatrix refactorig

Yury Babak created IGNITE-5280: -- Summary: SparseDistributedMatrix refactorig Key: IGNITE-5280 URL: https://issues.apache.org/jira/browse/IGNITE-5280 Project: Ignite Issue Type: Sub-task

[jira] [Created] (IGNITE-5535) BLAS support for offheap vector/matrix

Yury Babak created IGNITE-5535: -- Summary: BLAS support for offheap vector/matrix Key: IGNITE-5535 URL: https://issues.apache.org/jira/browse/IGNITE-5535 Project: Ignite Issue Type: Task

[jira] [Created] (IGNITE-6373) Create example for local and distributed k-means algorithm

Yury Babak created IGNITE-6373: -- Summary: Create example for local and distributed k-means algorithm Key: IGNITE-6373 URL: https://issues.apache.org/jira/browse/IGNITE-6373 Project: Ignite

[jira] [Created] (IGNITE-6386) Introduction of distributed neural networks.

Yury Babak created IGNITE-6386: -- Summary: Introduction of distributed neural networks. Key: IGNITE-6386 URL: https://issues.apache.org/jira/browse/IGNITE-6386 Project: Ignite Issue Type: New

[jira] [Created] (IGNITE-6585) SVM for Apache Ignite ML module

Yury Babak created IGNITE-6585: -- Summary: SVM for Apache Ignite ML module Key: IGNITE-6585 URL: https://issues.apache.org/jira/browse/IGNITE-6585 Project: Ignite Issue Type: New Feature

[jira] [Created] (IGNITE-6642) Integration with PMML

Yury Babak created IGNITE-6642: -- Summary: Integration with PMML Key: IGNITE-6642 URL: https://issues.apache.org/jira/browse/IGNITE-6642 Project: Ignite Issue Type: New Feature Security

[jira] [Created] (IGNITE-6640) Introduction of models import/export

Yury Babak created IGNITE-6640: -- Summary: Introduction of models import/export Key: IGNITE-6640 URL: https://issues.apache.org/jira/browse/IGNITE-6640 Project: Ignite Issue Type: New Feature

[jira] [Created] (IGNITE-6222) Adapt Linear regression for distributed enviroment

Yury Babak created IGNITE-6222: -- Summary: Adapt Linear regression for distributed enviroment Key: IGNITE-6222 URL: https://issues.apache.org/jira/browse/IGNITE-6222 Project: Ignite Issue Type

[jira] [Created] (IGNITE-6497) Broken tests in ignite-2.1.5

Yury Babak created IGNITE-6497: -- Summary: Broken tests in ignite-2.1.5 Key: IGNITE-6497 URL: https://issues.apache.org/jira/browse/IGNITE-6497 Project: Ignite Issue Type: Bug

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