Actually model portability and persistence is a serious limitation to
practical use of FlinkML in streaming. If you know what you're doing, you
can write a blunt serializer for your model, write it in a file and rebuild
the model stream-side with deserialized informations.
I tried it for an SVM mo
Currently I am not aware of streaming learners support, you would need to
implement that yourself at this point.
As for streaming predictors for batch learners I have some preview code
that you might like. [1]
[1]
https://github.com/streamline-eu/ML-Pipelines/blob/314e3d940f1f1ac7b762ba96067e13d8
Hi Márton,
I want to train and get the residuals.
Thanks and Regards,Piyush Shrivastava
http://webograffiti.com
On Wednesday, 11 May 2016 7:19 PM, Márton Balassi
wrote:
Hey Piyush,
Would you like to train or predict on the streaming data?
Best,
Marton
On Wed, May 11, 2016 at 3:44 PM,
Hey Piyush,
Would you like to train or predict on the streaming data?
Best,
Marton
On Wed, May 11, 2016 at 3:44 PM, Piyush Shrivastava
wrote:
> Hello all,
>
> I want to perform linear regression using FlinkML's
> MultipleLinearRegression() function on streaming data.
>
> This function takes a
Hello all,
I want to perform linear regression using FlinkML's MultipleLinearRegression()
function on streaming data.
This function takes a DataSet as an input and I cannot create a DataSet inside
the MapFunction of a DataStream. How can I use this function on my DataStream?
Thanks and Regards,
