I've started the discussion here
http://apache-ignite-developers.2346864.n4.nabble.com/Proposed-Release-2-7-7-2-7-6-ML-extra-fixed-bugs-td43537.html
пт, 13 сент. 2019 г. в 22:12, Alexey Zinoviev :
> The reason was that the last year there is no significant releases of
> Ignite between 2.7 and 2.
The reason was that the last year there is no significant releases of
Ignite between 2.7 and 2.8, only minor releases with long story of renaming.
I am and another ML guys are ready in 1-2 months prepare ML module for 2.8
or for the minor release 2.7.7 = 2.7.6 + updated ML + new fixed bugs
Let's d
Alexey, I'm wondering,
Are there any dependencies on Ignite Core that make us put off the ML
changes release until 2.8? I know that you do not support the idea of ML as
a separate Ignite module but this concept would allow us to release ML as
frequently as we want not being blocked by Ignite core
I could answer as one of developers of ML module.
Currently is available the ML in version 2.7.5, it supports a lot of
algorithms and could be used in production, but the API is not stable and
will be changed in 2.8
The ML module will be stable since next release 2.8, also we have no
performance r
David,
Let me loop in Ignite dev list that has Ignite ML experts subscribed.
Please, could you share more details in regards to your performance testing
and objectives for Ignite ML overall?
The module is ready for production and we're ready to help solve any
cornerstones.
-
Denis
On Fri, Sep
Python is 25 times slower than Java for ML at runtimes, which I found out
online. But I don't know that statement is true or not. I need insiders'
opinion. Which ml other packages are best options for Ignite?
On Fri, Sep 6, 2019 at 7:28 PM Mikael wrote:
> Hi!
>
> I have never used it myself but
Hi!
I have never used it myself but it's been there for long time and I
would expect it to be stable, and yes it will run distributed, I can't
say anything about performance as I have never used it.
You will find a lot of more information at:
https://apacheignite.readme.io/docs/machine-learn
I am evaluating ML framework for Java platform. I knew Ignite has ML
package.
But I like to know its stability and performance for production. Can Ignite
ML code run in distribute way?
Except its own ML package, which ml packages are best options for Ignite?
