Re: [VOTE] Release Apache Ignite 2.7.5-rc4

+1 - checked ML examples Best regards, Yuriy Babak чт, 6 июн. 2019 г. в 19:16, Павлухин Иван : > +1 > Launched a couple of nodes using bin package. Run SQL examples > successfully (but with some troubles along the way). > > чт, 6 июн. 2019 г. в 17:01, Igor Sapego : > &g

Re: [ML] Deployment of user-defined preprocessors

Alexey, This is a cool change, do you create a ticket for it? If no I can create one. Best regards, Yuriy Babak пт, 31 мая 2019 г. в 14:20, Алексей Платонов : > Hi, Igniters! > Currently we don't have an ability to deploy automatically user-defined > preprocessors and vectorizers.

Root readme.md update

Igniters, I noticed that our root readme.md outdated. So I suggest remove sections about hadoop accelerator and IGFS. Also, I want to add a section about ML. Any thoughts? Best regards, Yuriy Babak

[ML] move examples of model import into separate folder

this suggestion? Best regards, Yuriy Babak

Re: Ignite ML withKeepBinary cache

] - org.apache.ignite.examples.ml.TrainingWithBinaryObjectExample Sincerely, Best regards, Yuriy Babak чт, 10 янв. 2019 г. в 14:07, Alexey Zinoviev : > Thanks a lot for the example. Will write later about keepBinary support in > this thread. > > чт, 10 янв. 2019 г. в 13:28, otorreno :

Re: [DISCUSSION] Drop Scala 2.10 for Apache Ignite 2.8

In that case my vote for 3.0 release Best regards, Yuriy Babak пт, 11 янв. 2019 г. в 21:29, Denis Magda : > 1500 (2.11) vs 150 (2.10) - downloads of ignite-scalar artifacts of defined > version. My point is that those few who are on 2.10 should be considered - > we usually don't do

[DISCUSSION] Drop Scala 2.10 for Apache Ignite 2.8

was removed as of 2.3.0 Apache Spark released. And current version if 2.4.0. Please share your opinion Best regards, Yuriy Babak

Re: [ML] Metric calculation for classification models

Dmitriy, Sure, all changes in ML module will be described on readme.io site with next release (2.8). Best regards, Yuriy Babak чт, 13 дек. 2018 г. в 17:21, Dmitriy Pavlov : > Folks, I sometimes hear complains related to metrics and its clearness for > end-users. > > Would you

[ML] Metric calculation for classification models

Igniters, Alexey I want to discuss the ticket 10371 [1], currently, we calculate 4 numbers (true positive, true negative, false positive, false negative) for each "point metric" like accuracy, recall, f-score and precision for each label. So for the full score we need calculates those 4 numbers

Re: [ML][DISCUSSION] ML Package reorganization

Ignite-code has separation of API classes (not internal) and internal > stuff. Internal classes may be changed from version to version, but API > can't be renamed/moved/and so on. What about ML? > > Sincerely, > Dmitriy Pavlov > > вт, 11 дек. 2018 г. в 16:56, Yuriy Babak : >

[ML][DISCUSSION] ML Package reorganization

Igniters, I want to discuss package structure for ML module. Actually I don't like our current package organization. The main problem is that we have lots of different packages under root package. For examples algorithm related packages on same level like some utility infrastructure packages

Re: Apache Ignite 2.7 release

Igniters, We have new ticket related with TensorFlow integration: https://issues.apache.org/jira/browse/IGNITE-9788 >From my point of view this fix is important for release and I want to include it to 2.7. Any objections? пн, 20 авг. 2018 г. в 21:22, Nikolay Izhikov : > Hello, Igniters. > >

Re: [ML] IGNITE-9282 Naive Bayes task split

Hi Ravil, I think this is a good idea. I prefer to have several small single-feature tickets instead of a big one with several features. I will start reviewing 9282 on this week. Also, I looking forward to seeing those new tickets. Regards, Yuriy вс, 30 сент. 2018 г. в 3:58, Ravil Galeyev : >