Re: Examples / Documentation for Flink ML 2

2022-01-21 Thread Dong Lin 
Hey Bonino,

Sounds great. Since we have not set up the website for Flink ML yet, how
about we create PRs for https://github.com/apache/flink-ml and put those
Markdown files under flink-ml/docs?

Best Regards,
Dong

On Sat, Jan 22, 2022 at 12:25 AM Bonino Dario 
wrote:

> Hi Dong,
>
> We assembled a first, very small, Markdown document providing a jump-start
> description using a kMeans example. I could already share it with you to
> check if we are pointing in the right direction. I had a look at the Flink
> contribution guidelines, however the flink-ml project is  somewhat
> "separate" from Flink and the same I think holds for the documentation. How
> do you think it is better to proceed?
>
> Best regards
>
> Dario Bonino
> On 1/19/22 09:36, Dong Lin wrote:
>
> Hi Bonino,
>
> Definitely, it will be great to build up the Flink ML docs together based
> on your experience.
>
> Thanks!
> Dong
>
> On Wed, Jan 19, 2022 at 4:32 PM Bonino Dario 
> wrote:
>
>> Hi Dong,
>>
>> Thank you for the reply. Since we are actually experimenting with the
>> Flink ML libraries, If you think it's worth, we may contribute some
>> documentation, e.g., tutorial based on what we learn while setting up our
>> test project with Flink ML. Is it something that might be of interest for
>> you?
>>
>> Best regards
>>
>> Dario
>> On 1/18/22 04:51, Dong Lin wrote:
>>
>> Hi Bonino,
>>
>> Thanks for your interest!
>>
>> Flink ML is currently ready for experienced algorithm developers to try
>> it out because we have setup the basic APIs and infrastructure to develop
>> algorithms. Five algorithms (i.e. kmeans, naive bays, knn, logistic
>> regression and one-hot encoder) has been implemented in the last release.
>> Their unit tests can be found here
>> ,
>> here
>> 
>> and here
>> ,
>> which show how to use these algorithms (including transform/fit/save/load).
>> And from these unit tests you can find implementation of these algorithms
>> which can be used as reference implementation to develop other algorithms
>> of your interest.
>>
>> We plan to setup a website for Flink ML to provide links to
>> example/tutorial similar to the Flink Statefun website (link
>> ). This
>> website will likely be setup in March. We are currently working on
>> developing further infrastructure for benchmarking and optimizing the
>> machine learning algorithms in Flink ML.
>>
>> Best Regards,
>> Dong
>>
>>
>>
>> On Mon, Jan 17, 2022 at 8:57 PM Dawid Wysakowicz 
>> wrote:
>>
>>> I am adding a couple of people who worked on it. Hopefully, they will be
>>> able to answer you.
>>> On 17/01/2022 13:39, Bonino Dario wrote:
>>>
>>> Dear List,
>>>
>>> We are in the process of evaluating Flink ML version 2.0 in the context
>>> of some ML task mainly concerned with classification and clustering.
>>>
>>> While algorithms for this 2 domains are already present, although in a
>>> limited form (perhaps) in the latest release of Flink ML, we did not found
>>> any example / documentation that could guide our experiments.
>>>
>>> Is some adoption example available, like code, tutorial or any
>>> information that might help us in bootstrapping a Flink ML 2 project?
>>>
>>> Thank you very much
>>>
>>> Best regards
>>>
>>> --
>>> Ing. Dario Bonino, Ph.D
>>>
>>> e-m@il: dario.bon...@gmail.com
>>> www: https://www.linkedin.com/in/dariobonino
>>> 
>>> Dario
>>> Bonino
>>> slide...@hotmail.com
>>> 
>>>
>>> --
>> Ing. Dario Bonino, Ph.D
>>
>> e-m@il: dario.bon...@gmail.com
>> www: https://www.linkedin.com/in/dariobonino
>> 
>>  Dario
>>  Bonino
>>  slide...@hotmail.com
>> 
>>
>> --
> Ing. Dario Bonino, Ph.D
>
> e-m@il: dario.bon...@gmail.com
> www: https://www.linkedin.com/in/dariobonino
> 
>   Dario
>   Bonino
>   slide...@hotmail.com
> 
>
>

Re: Examples / Documentation for Flink ML 2

2022-01-21 Thread Bonino Dario 

Hi Dong,

We assembled a first, very small, Markdown document providing a 
jump-start description using a kMeans example. I could already share it 
with you to check if we are pointing in the right direction. I had a 
look at the Flink contribution guidelines, however the flink-ml project 
is  somewhat "separate" from Flink and the same I think holds for the 
documentation. How do you think it is better to proceed?


Best regards

Dario Bonino

On 1/19/22 09:36, Dong Lin wrote:

Hi Bonino,

Definitely, it will be great to build up the Flink ML docs together 
based on your experience.


Thanks!
Dong

On Wed, Jan 19, 2022 at 4:32 PM Bonino Dario  
wrote:


Hi Dong,

Thank you for the reply. Since we are actually experimenting with
the Flink ML libraries, If you think it's worth, we may contribute
some documentation, e.g., tutorial based on what we learn while
setting up our test project with Flink ML. Is it something that
might be of interest for you?

Best regards

Dario

On 1/18/22 04:51, Dong Lin wrote:

Hi Bonino,

Thanks for your interest!

Flink ML is currently ready for experienced algorithm developers
to try it out because we have setup the basic APIs and
infrastructure to develop algorithms. Five algorithms (i.e.
kmeans, naive bays, knn, logistic regression and one-hot encoder)
has been implemented in the last release. Their unit tests can be
found here

,
here


and here

,
which show how to use these algorithms (including
transform/fit/save/load). And from these unit tests you can find
implementation of these algorithms which can be used as reference
implementation to develop other algorithms of your interest.

We plan to setup a website for Flink ML to provide links to
example/tutorial similar to the Flink Statefun website (link
).
This website will likely be setup in March. We are currently
working on developing further infrastructure for benchmarking and
optimizing the machine learning algorithms in Flink ML.

Best Regards,
Dong



On Mon, Jan 17, 2022 at 8:57 PM Dawid Wysakowicz
 wrote:

I am adding a couple of people who worked on it. Hopefully,
they will be able to answer you.

On 17/01/2022 13:39, Bonino Dario wrote:


Dear List,

We are in the process of evaluating Flink ML version 2.0 in
the context of some ML task mainly concerned with
classification and clustering.

While algorithms for this 2 domains are already present,
although in a limited form (perhaps) in the latest release
of Flink ML, we did not found any example / documentation
that could guide our experiments.

Is some adoption example available, like code, tutorial or
any information that might help us in bootstrapping a Flink
ML 2 project?

Thank you very much

Best regards

-- 
Ing. Dario Bonino, Ph.D


e-m@il:dario.bon...@gmail.com  
www:https://www.linkedin.com/in/dariobonino


Dario
Bonino
slide...@hotmail.com



-- 
Ing. Dario Bonino, Ph.D


e-m@il:dario.bon...@gmail.com  
www:https://www.linkedin.com/in/dariobonino


Dario
Bonino
slide...@hotmail.com



--
Ing. Dario Bonino, Ph.D

e-m@il:dario.bon...@gmail.com  
www:https://www.linkedin.com/in/dariobonino


Dario
Bonino
slide...@hotmail.com

Re: Examples / Documentation for Flink ML 2

2022-01-19 Thread Dong Lin 
Hi Bonino,

Definitely, it will be great to build up the Flink ML docs together based
on your experience.

Thanks!
Dong

On Wed, Jan 19, 2022 at 4:32 PM Bonino Dario  wrote:

> Hi Dong,
>
> Thank you for the reply. Since we are actually experimenting with the
> Flink ML libraries, If you think it's worth, we may contribute some
> documentation, e.g., tutorial based on what we learn while setting up our
> test project with Flink ML. Is it something that might be of interest for
> you?
>
> Best regards
>
> Dario
> On 1/18/22 04:51, Dong Lin wrote:
>
> Hi Bonino,
>
> Thanks for your interest!
>
> Flink ML is currently ready for experienced algorithm developers to try it
> out because we have setup the basic APIs and infrastructure to develop
> algorithms. Five algorithms (i.e. kmeans, naive bays, knn, logistic
> regression and one-hot encoder) has been implemented in the last release.
> Their unit tests can be found here
> ,
> here
> 
> and here
> ,
> which show how to use these algorithms (including transform/fit/save/load).
> And from these unit tests you can find implementation of these algorithms
> which can be used as reference implementation to develop other algorithms
> of your interest.
>
> We plan to setup a website for Flink ML to provide links to
> example/tutorial similar to the Flink Statefun website (link
> ). This
> website will likely be setup in March. We are currently working on
> developing further infrastructure for benchmarking and optimizing the
> machine learning algorithms in Flink ML.
>
> Best Regards,
> Dong
>
>
>
> On Mon, Jan 17, 2022 at 8:57 PM Dawid Wysakowicz 
> wrote:
>
>> I am adding a couple of people who worked on it. Hopefully, they will be
>> able to answer you.
>> On 17/01/2022 13:39, Bonino Dario wrote:
>>
>> Dear List,
>>
>> We are in the process of evaluating Flink ML version 2.0 in the context
>> of some ML task mainly concerned with classification and clustering.
>>
>> While algorithms for this 2 domains are already present, although in a
>> limited form (perhaps) in the latest release of Flink ML, we did not found
>> any example / documentation that could guide our experiments.
>>
>> Is some adoption example available, like code, tutorial or any
>> information that might help us in bootstrapping a Flink ML 2 project?
>>
>> Thank you very much
>>
>> Best regards
>>
>> --
>> Ing. Dario Bonino, Ph.D
>>
>> e-m@il: dario.bon...@gmail.com
>> www: https://www.linkedin.com/in/dariobonino
>> 
>>  Dario
>>  Bonino
>>  slide...@hotmail.com
>> 
>>
>> --
> Ing. Dario Bonino, Ph.D
>
> e-m@il: dario.bon...@gmail.com
> www: https://www.linkedin.com/in/dariobonino
> 
>   Dario
>   Bonino
>   slide...@hotmail.com
> 
>
>

Re: Examples / Documentation for Flink ML 2

2022-01-19 Thread Bonino Dario 

Hi Dong,

Thank you for the reply. Since we are actually experimenting with the 
Flink ML libraries, If you think it's worth, we may contribute some 
documentation, e.g., tutorial based on what we learn while setting up 
our test project with Flink ML. Is it something that might be of 
interest for you?


Best regards

Dario

On 1/18/22 04:51, Dong Lin wrote:

Hi Bonino,

Thanks for your interest!

Flink ML is currently ready for experienced algorithm developers to 
try it out because we have setup the basic APIs and infrastructure to 
develop algorithms. Five algorithms (i.e. kmeans, naive bays, knn, 
logistic regression and one-hot encoder) has been implemented in the 
last release. Their unit tests can be found here 
, 
here 
 
and here 
, 
which show how to use these algorithms (including 
transform/fit/save/load). And from these unit tests you can find 
implementation of these algorithms which can be used as reference 
implementation to develop other algorithms of your interest.


We plan to setup a website for Flink ML to provide links to 
example/tutorial similar to the Flink Statefun website (link 
). 
This website will likely be setup in March. We are currently working 
on developing further infrastructure for benchmarking and optimizing 
the machine learning algorithms in Flink ML.


Best Regards,
Dong



On Mon, Jan 17, 2022 at 8:57 PM Dawid Wysakowicz 
 wrote:


I am adding a couple of people who worked on it. Hopefully, they
will be able to answer you.

On 17/01/2022 13:39, Bonino Dario wrote:


Dear List,

We are in the process of evaluating Flink ML version 2.0 in the
context of some ML task mainly concerned with classification and
clustering.

While algorithms for this 2 domains are already present, although
in a limited form (perhaps) in the latest release of Flink ML, we
did not found any example / documentation that could guide our
experiments.

Is some adoption example available, like code, tutorial or any
information that might help us in bootstrapping a Flink ML 2
project?

Thank you very much

Best regards

-- 
Ing. Dario Bonino, Ph.D


e-m@il:dario.bon...@gmail.com  
www:https://www.linkedin.com/in/dariobonino


Dario
Bonino
slide...@hotmail.com




--
Ing. Dario Bonino, Ph.D

e-m@il:dario.bon...@gmail.com  
www:https://www.linkedin.com/in/dariobonino


Dario
Bonino
slide...@hotmail.com

Re: Examples / Documentation for Flink ML 2

2022-01-17 Thread Dong Lin 
Hi Bonino,

Thanks for your interest!

Flink ML is currently ready for experienced algorithm developers to try it
out because we have setup the basic APIs and infrastructure to develop
algorithms. Five algorithms (i.e. kmeans, naive bays, knn, logistic
regression and one-hot encoder) has been implemented in the last release.
Their unit tests can be found here
,
here

and here
,
which show how to use these algorithms (including transform/fit/save/load).
And from these unit tests you can find implementation of these algorithms
which can be used as reference implementation to develop other algorithms
of your interest.

We plan to setup a website for Flink ML to provide links to
example/tutorial similar to the Flink Statefun website (link
). This
website will likely be setup in March. We are currently working on
developing further infrastructure for benchmarking and optimizing the
machine learning algorithms in Flink ML.

Best Regards,
Dong



On Mon, Jan 17, 2022 at 8:57 PM Dawid Wysakowicz 
wrote:

> I am adding a couple of people who worked on it. Hopefully, they will be
> able to answer you.
> On 17/01/2022 13:39, Bonino Dario wrote:
>
> Dear List,
>
> We are in the process of evaluating Flink ML version 2.0 in the context of
> some ML task mainly concerned with classification and clustering.
>
> While algorithms for this 2 domains are already present, although in a
> limited form (perhaps) in the latest release of Flink ML, we did not found
> any example / documentation that could guide our experiments.
>
> Is some adoption example available, like code, tutorial or any information
> that might help us in bootstrapping a Flink ML 2 project?
>
> Thank you very much
>
> Best regards
>
> --
> Ing. Dario Bonino, Ph.D
>
> e-m@il: dario.bon...@gmail.com
> www: https://www.linkedin.com/in/dariobonino
> 
>   Dario
>   Bonino
>   slide...@hotmail.com
> 
>
>

Re: Examples / Documentation for Flink ML 2

2022-01-17 Thread Dawid Wysakowicz 
I am adding a couple of people who worked on it. Hopefully, they will be
able to answer you.

On 17/01/2022 13:39, Bonino Dario wrote:
>
> Dear List,
>
> We are in the process of evaluating Flink ML version 2.0 in the
> context of some ML task mainly concerned with classification and
> clustering.
>
> While algorithms for this 2 domains are already present, although in a
> limited form (perhaps) in the latest release of Flink ML, we did not
> found any example / documentation that could guide our experiments.
>
> Is some adoption example available, like code, tutorial or any
> information that might help us in bootstrapping a Flink ML 2 project?
>
> Thank you very much
>
> Best regards
>
> -- 
> Ing. Dario Bonino, Ph.D
>
> e-m@il: dario.bon...@gmail.com 
> www: https://www.linkedin.com/in/dariobonino
> 
>   Dario
>   Bonino
>   slide...@hotmail.com
>  


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