Hi,
yes sry. This was my mistake. I had problems with the E-Mail server...
Am 19.01.2016 um 09:36 schrieb Chiwan Park:
Hi Hilmi,
As I understand, Till said that this email was sent twice [1][2].
[1]:
http://mail-archives.apache.org/mod_mbox/flink-dev/201601.mbox/%3C569CD85A.6050309%40dfki.de%
Hi Hilmi,
As I understand, Till said that this email was sent twice [1][2].
[1]:
http://mail-archives.apache.org/mod_mbox/flink-dev/201601.mbox/%3C569CD85A.6050309%40dfki.de%3E
[2]:
http://mail-archives.apache.org/mod_mbox/flink-dev/201601.mbox/%3C569CD969.1080100%40dfki.de%3E
> On Jan 19, 201
We had a discussion about the "LabeledVector" class. But now this is a
discussion about the Vector and DenseVector :)
Am 18.01.2016 um 22:29 schrieb Till Rohrmann:
Didn't we just had the discussion in another email thread?
On Jan 18, 2016 8:55 PM, "Hilmi Yildirim" wrote:
Hi,
the Vector and D
How about mapping a number for each string? Maybe you can do it with custom
Transformer.
> On Jan 19, 2016, at 12:02 AM, Hilmi Yildirim wrote:
>
> Ok. In this case I will use an Array instead.
>
> Am 18.01.2016 um 14:56 schrieb Theodore Vasiloudis:
>> I agree with Till, the data types are diff
Didn't we just had the discussion in another email thread?
On Jan 18, 2016 8:55 PM, "Hilmi Yildirim" wrote:
> Hi,
> the Vector and DenseVector implementations of Flink ML only allow Double
> values. But there are cases where the values are not Doubles, e.g. in NLP.
> Does it make sense to make th
Hi,
the Vector and DenseVector implementations of Flink ML only allow Double
values. But there are cases where the values are not Doubles, e.g. in
NLP. Does it make sense to make the implementations generic, i.e.
Vector[T] and DenseVector[T]?
Best Regards,
Hilmi
--
==
Ok. In this case I will use an Array instead.
Am 18.01.2016 um 14:56 schrieb Theodore Vasiloudis:
I agree with Till, the data types are different here so you need a custom
string vector.
The Vector abstraction in FlinkML is designed with numerical vectors in
mind.
On Mon, Jan 18, 2016 at 2:33
Ok. In this case I will use an Array instead.
Am 18.01.2016 um 14:56 schrieb Theodore Vasiloudis:
I agree with Till, the data types are different here so you need a custom
string vector.
The Vector abstraction in FlinkML is designed with numerical vectors in
mind.
On Mon, Jan 18, 2016 at 2:33
I agree with Till, the data types are different here so you need a custom
string vector.
The Vector abstraction in FlinkML is designed with numerical vectors in
mind.
On Mon, Jan 18, 2016 at 2:33 PM, Till Rohrmann wrote:
> Hi Hilmi,
>
> I think in your case it makes sense to define a custom vec
Hi Hilmi,
I think in your case it makes sense to define a custom vector of strings.
The easiest implementation could be an Array[String] or List[String].
The reason why it does not make so much sense to make Vector and DenseVector
generic is that these types are algebraic data types. How would yo
Hi,
how I explained it in a previous E-Mail, I need a LabeledVector where
the label is also a vector. After we discussed this issue, I created a
new class named LabeledSequenceVector with the labels as a Vector. In my
use case, I want to train a POS-Tagger system, so the "vector" is a
vector o
Hi Hilmi,
In NLP, which types are used for vector values? I think we can cover typical
case using double values.
> On Jan 18, 2016, at 9:19 PM, Hilmi Yildirim wrote:
>
> Hi,
> the Vector and DenseVector implementations of Flink ML only allow Double
> values. But there are cases where the valu
Hi,
the Vector and DenseVector implementations of Flink ML only allow Double
values. But there are cases where the values are not Doubles, e.g. in
NLP. Does it make sense to make the implementations generic, i.e.
Vector[T] and DenseVector[T]?
Best Regards,
Hilmi
--
==
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