Hi,
yes it is a good idea. One implementaiton with a single valued label and
a second implementation with a label vector.
Best Regards,
Hilmi
From: *Chiwan Park* <chiwanp...@apache.org <mailto:chiwanp...@apache.org>>
Date: Tue, Jan 5, 2016 at 12:17 PM
Subject: Re: LabeledVector with label vector
To: dev@flink.apache.org <mailto:dev@flink.apache.org>
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
<mailto: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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> Alt-Moabit 91c
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>
> E-Mail: hilmi.yildi...@dfki.de <mailto:hilmi.yildi...@dfki.de>
>
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Regards,
Chiwan Park
