Hi Hilmi,
Thanks for suggestion about type of labeled vector. Basically, I agree that
your suggestion is reasonable. But, I would like to generialize `LabeledVector`
like following example:
```
case class LabeledVector[T <: Serializable](label: T, vector: Vector) extends
Serializable {
// some implementations for LabeledVector
}
```
How about this implementation? If there are any other opinions, please send a
email to mailing list.
> On Jan 5, 2016, at 7:36 PM, Hilmi Yildirim <hilmi.yildi...@dfki.de> wrote:
>
> Hi,
> in the ML-Pipeline of Flink we have the "LabeledVector" class. It consists of
> a vector and a label as a double value. Unfortunately, it is not applicable
> for sequence learning where the label is also a vector. For example, in NLP
> we have a vector of words and the label is a vector of the corresponding
> labels.
>
> The optimize function of the "Solver" class has a DateSet[LabeledVector] as
> input and, therefore, it is not applicable for sequence learning. I think the
> LabeledVector should be adapted that the label is a vector instead of a
> single Double value. What do you think?
>
> Best Regards,
>
> --
> ==================================================================
> Hilmi Yildirim, M.Sc.
> Researcher
>
> DFKI GmbH
> Intelligente Analytik für Massendaten
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>
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Regards,
Chiwan Park
