Trying to improve the old solution.
Do we have a better text classifier now in Spark Mllib?
Regards,
lmk
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Hi,
Sorry to bounce back the old thread.
What is the state now? Is this problem solved. How spark handle categorical
data now?
Regards,
Ashutosh
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the old thread.
What is the state now? Is this problem solved. How spark handle categorical
data now?
Regards,
Ashutosh
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...@gmail.commailto:lakshmi.muralikrish...@gmail.com]
Sent: Wednesday, June 25, 2014 1:27 PM
To: u...@spark.incubator.apache.orgmailto:u...@spark.incubator.apache.org
Subject: RE: Prediction using Classification with text attributes in Apache
Spark MLLib
Hi Alexander,
Just one more question
...@gmail.com]
Sent: Wednesday, June 25, 2014 1:27 PM
To: u...@spark.incubator.apache.org
Subject: RE: Prediction using Classification with text attributes in Apache
Spark MLLib
Hi Alexander,
Just one more question on a related note. Should I be following the same
procedure even if my data
text.
Please let me know how I can do this.
Thanks.
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To: u...@spark.incubator.apache.org
Subject: Prediction using Classification with text attributes in Apache Spark
MLLib
Hi,
I am trying to predict an attribute with binary value (Yes/No) using SVM.
All my attributes which belong to the training set are text attributes.
I understand that I have
?
Thanks,
lmk
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Sent from the Apache Spark User List mailing list archive at Nabble.com.
: Tuesday, June 24, 2014 3:41 PM
To: u...@spark.incubator.apache.org
Subject: RE: Prediction using Classification with text attributes in Apache
Spark MLLib
Hi Alexander,
Thanks for your prompt response. Earlier I was executing this Prediction using
Weka only. But now we are moving to a huge dataset
On Tue, Jun 24, 2014 at 12:28 PM, Ulanov, Alexander
alexander.ula...@hp.com wrote:
You need to convert your text to vector space model:
http://en.wikipedia.org/wiki/Vector_space_model
and then pass it to SVM. As far as I know, in previous versions of MLlib
there was a special class for doing
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