Re: ML examples wrap logic in IgniteThread. Why?

Denis, Thanks for this notice, actually this is some kind of atavism. Run this code inside IgniteThread was a requirement when we had a distributed matrices. But now all our algorithms builds over distributed datasets and we don't need it anymore. I created JIRA ticket

[ML] New features and improvement of ML module for 2.7 release

Hello Igniters, I want to make up some overview of all features and major improvement of ML module for this release. So let me start from the one of our main feature for this release: *TensorFlow integration* This integration allows us to use

[ML] TensorFlow intergration module release

Hello, Igniters. For release 2.7 we will introduce integration between TensorFlow and Apache Ignite. This integration contains changes on Apache Ignite side and on TensorFlow side. Apache Ignite part is the command line tool which allows create and maintain TensorFlow clusters over Apache Ignite

Re: Apache Ignite 2.7 release

Denis, Nikolay, Igniters, This is a list of planned ML features for Apache Ignite 2.7 release: - Tensor Flow integration ( https://issues.apache.org/jira/browse/IGNITE-8670) - Data preprocessing (https://issues.apache.org/jira/browse/IGNITE-8662) - Model validation (https://issues.apa

[ML] Bugs in GA Grid

Turik, Could you please take a look on those two bugs: https://issues.apache.org/jira/browse/IGNITE-9354 https://issues.apache.org/jira/browse/IGNITE-9359 Thanks, Yury