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From unmesha sreeveni <unmeshab...@gmail.com>
Subject Re: SVM implementaion
Date Sat, 09 Nov 2013 11:21:20 GMT
normally in svm how are the training data classified in 1/0 class label?

In 1/-1 classification we will be checking sign(decision function) ie , if
the calculated decision function value is negative we will give -1
classlabel and if it is positive we will give 1 as class label.

After finding that we will compare the class label with the class label of
input data...and find the accuracy/miss classification.

What about in 1/0 classification???


On Sat, Nov 9, 2013 at 4:45 PM, unmesha sreeveni <unmeshabiju@gmail.com>wrote:

> 1/-1 is not available?
>
>
> On Fri, Nov 8, 2013 at 7:58 PM, Robin East <robin.east@xense.co.uk> wrote:
>
>> You could try having a look at some of the competition data sets on
>> http://www.kaggle.com. Many of them are 1/0 classification problems
>>
>> Sent from my iPhone
>>
>> On 8 Nov 2013, at 10:10, unmesha sreeveni <unmeshabiju@gmail.com> wrote:
>>
>> where can i get a large file for checking svm .with classes 1 and -1
>> around 1 GB file
>>
>>
>> On Fri, Nov 8, 2013 at 11:14 AM, unmesha sreeveni <unmeshabiju@gmail.com>wrote:
>>
>>> thx Mirko Kampf
>>>
>>>
>>> On Fri, Nov 8, 2013 at 10:48 AM, Mirko Kämpf <mirko.kaempf@gmail.com>wrote:
>>>
>>>> There are three Jira issues about it: Mahout-14<https://issues.apache.org/jira/browse/MAHOUT-14>
>>>>  and Mahout-334 <https://issues.apache.org/jira/browse/MAHOUT-334>
have
>>>> been closed as won't fix. Mahout-232<https://issues.apache.org/jira/browse/MAHOUT-232>
was
>>>> assigned later because some code was contributed early (2009) but it did
>>>> not work so it was not incorporated into Mahout. Since then Mahout has
>>>> changed, so porting the code would be difficult, and if you look at the
>>>> issue there is some disagreement about whether it approaches the problem
in
>>>> the best way.
>>>>
>>>> There is some code for a cascadeSVM implementation<https://code.google.com/p/cascadesvm/>
but
>>>> the training part - the hard part - was never published.
>>>>
>>>> There is a parallel SVM implementation<https://code.google.com/p/psvm/>
that
>>>> runs on MPI rather than Hadoop.
>>>>
>>>> This San Francisco Meetup abstract<http://www.meetup.com/sfmachinelearning/events/116497192/>
has
>>>> some discussion of current state of the art and issues for parallel SVM.
>>>>
>>>>
>>>>
>>>>
>>>>
>>>> 2013/11/8 unmesha sreeveni <unmeshabiju@gmail.com>
>>>>
>>>>> Do we have an SVM implementation?
>>>>>
>>>>> --
>>>>> *Thanks & Regards*
>>>>>
>>>>> Unmesha Sreeveni U.B
>>>>>
>>>>> *Junior Developer*
>>>>>
>>>>> *Amrita Center For Cyber Security *
>>>>>
>>>>>
>>>>> * Amritapuri.www.amrita.edu/cyber/ <http://www.amrita.edu/cyber/>*
>>>>>
>>>>
>>>>
>>>
>>>
>>> --
>>> *Thanks & Regards*
>>>
>>> Unmesha Sreeveni U.B
>>>
>>> *Junior Developer*
>>>
>>> *Amrita Center For Cyber Security *
>>>
>>>
>>> * Amritapuri.www.amrita.edu/cyber/ <http://www.amrita.edu/cyber/>*
>>>
>>
>>
>>
>> --
>> *Thanks & Regards*
>>
>> Unmesha Sreeveni U.B
>>
>> *Junior Developer*
>>
>> *Amrita Center For Cyber Security *
>>
>>
>> * Amritapuri.www.amrita.edu/cyber/ <http://www.amrita.edu/cyber/>*
>>
>>
>
>
> --
> *Thanks & Regards*
>
> Unmesha Sreeveni U.B
>
> *Junior Developer*
>
> *Amrita Center For Cyber Security *
>
>
> * Amritapuri.www.amrita.edu/cyber/ <http://www.amrita.edu/cyber/>*
>



-- 
*Thanks & Regards*

Unmesha Sreeveni U.B

*Junior Developer*

*Amrita Center For Cyber Security*


* Amritapuri.www.amrita.edu/cyber/ <http://www.amrita.edu/cyber/>*

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