hours (one value
> per minute) should be predicted.
>
> Thank you in advance.
>
> Regards,
> Daniela
>
> *Gesendet:* Montag, 02. Januar 2017 um 22:30 Uhr
> *Von:* "Marco Mistroni" <mmistr...@gmail.com>
> *An:* "Daniela S" <daniela_4...@gmx
t; <mmistr...@gmail.com>
An: "Daniela S" <daniela_4...@gmx.at>
Cc: User <user@spark.apache.org>
Betreff: Re: Re: Spark Streaming prediction
Apologies, perhaps i misunderstood your usecase.
My assumption was that you have 2-3 hours worth fo data and you want to
;mmistr...@gmail.com>
> *An:* "Daniela S" <daniela_4...@gmx.at>
> *Cc:* User <user@spark.apache.org>
> *Betreff:* Re: Spark Streaming prediction
> Hi
> you might want to have a look at the Regression ML algorithm and
> integrate it in your SparkStreaming
, 02. Januar 2017 um 21:07 Uhr
Von: "Marco Mistroni" <mmistr...@gmail.com>
An: "Daniela S" <daniela_4...@gmx.at>
Cc: User <user@spark.apache.org>
Betreff: Re: Spark Streaming prediction
Hi
you might want to have a look at the Regression ML algorithm a
Hi
you might want to have a look at the Regression ML algorithm and
integrate it in your SparkStreaming application, i m sure someone on the
list has a similar use case
shortly, you'd want to process all your events and feed it through a ML
model which,based on your inputs will predict output
Hi
I am trying to solve the following problem with Spark Streaming.
I receive timestamped events from Kafka. Each event refers to a device and contains values for every minute of the next 2 to 3 hours. What I would like to do is to predict the minute values for the next 24 hours. So I would
