Thanks for mentioning it, Theo.
Here it is: https://github.com/streamline-eu/ML-Pipelines/tree/stream-ml
Look at these examples:
https://github.com/streamline-eu/ML-Pipelines/commit/314e3d940f1f1ac7b762ba96067e13d806476f57
On Wed, Dec 21, 2016 at 9:38 PM, wrote:
> I'm interested in that code y
I'm interested in that code you mentioned too, I hope you can find it.
Regards,
Matt
> On Dec 21, 2016, at 17:12, Theodore Vasiloudis
> wrote:
>
> Hello Mäki,
>
> I think what you would like to do is train a model using batch, and use the
> Flink streaming API as a way to serve your model a
Hello Mäki,
I think what you would like to do is train a model using batch, and use the
Flink streaming API as a way to serve your model and make predictions.
While we don't have an integrated way to do that in FlinkML currently, I
definitely think that's possible. I know Marton Balassi has been
Hi,
I'm wondering if there is a way to use FlinkML and make predictions
continuously for test data coming from a DataStream.
I know FlinkML only supports the DataSet API (batch) at the moment, but is
there a way to convert a DataStream into DataSets? I'm thinking of something
like
(0. fit mod
