Hi guys,

it is true that we dropped Flink-ML with 1.9. The reason is that the
community started working on a new ML library which you can find under
flink-ml-parent [1]. This module contains the framework for building ML
pipelines but not yet too many algorithms iirc. The plan is to extend this
library with algorithms from Alink in the near future to grow Flink's
machine learning library.

[1] https://github.com/apache/flink/tree/master/flink-ml-parent

Cheers,
Till

On Wed, Dec 11, 2019 at 3:42 AM vino yang <yanghua1...@gmail.com> wrote:

> Hi Benoit,
>
> I can only try to ping @Till Rohrmann <trohrm...@apache.org> @Kurt Young
> <ykt...@gmail.com>  who may know more information to answer this question.
>
> Best,
> Vino
>
> Benoît Paris <benoit.pa...@centraliens-lille.org> 于2019年12月10日周二 下午7:06写道:
>
>> Is there any information as to whether Alink is going to be contributed
>> to Apache Flink as the official ML Lib?
>>
>>
>> On Tue, Dec 10, 2019 at 7:11 AM vino yang <yanghua1...@gmail.com> wrote:
>>
>>> Hi Chandu,
>>>
>>> AFAIK, there is a project named Alink[1] which is the Machine Learning
>>> algorithm platform based on Flink, developed by the PAI team of Alibaba
>>> computing platform. FYI
>>>
>>> Best,
>>> Vino
>>>
>>> [1]: https://github.com/alibaba/Alink
>>>
>>> Tom Blackwood <tom.blkw...@gmail.com> 于2019年12月10日周二 下午2:07写道:
>>>
>>>> You may try Spark ML, which is a production ready library for ML stuff.
>>>>
>>>> regards.
>>>>
>>>> On Tue, Dec 10, 2019 at 1:04 PM chandu soa <chandu...@gmail.com> wrote:
>>>>
>>>>> Hello Community,
>>>>>
>>>>> Can you please give me some pointers for implementing Machine Learning
>>>>> using Flink.
>>>>>
>>>>> I see Flink ML libraries were dropped in v1.9. It looks like ML
>>>>> feature in Flink going to be enhanced.
>>>>>
>>>>> What is the recommended approach for implementing production grade ML
>>>>> based apps using Flink? v1.9 is ok?or should wait for 1.10?
>>>>>
>>>>> Thanks,
>>>>> Chandu
>>>>>
>>>>
>>
>> --
>> Benoît Paris
>> Ingénieur Machine Learning Explicable
>> Tél : +33 6 60 74 23 00
>> http://benoit.paris
>> http://explicable.ml
>>
>

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