per minute) should be predicted.
>
> Thank you in advance.
>
> Regards,
> Daniela
>
> *Gesendet:* Montag, 02. Januar 2017 um 22:30 Uhr
> *Von:* "Marco Mistroni"
> *An:* "Daniela S"
> *Cc:* User
> *Betreff:* Re: Re: Spark Streaming prediction
>
"Daniela S"
Cc: User
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 know the values for the next 24 based on the values you already have, that is why i sugges
on the dashboard (e.g. how does the dashboard know that the value for
> minute 300 maps to time 15:05?
>
> Thank you in advance.
>
> Best regards,
> Daniela
>
>
>
> *Gesendet:* Montag, 02. Januar 2017 um 21:07 Uhr
> *Von:* "Marco Mistroni"
> *An:* "
, 02. Januar 2017 um 21:07 Uhr
Von: "Marco Mistroni"
An: "Daniela S"
Cc: User
Betreff: Re: Spark Streaming prediction
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
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
Y
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 li
