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
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
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