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From unmesha sreeveni <unmeshab...@gmail.com>
Subject Re: SVM implementaion
Date Sat, 09 Nov 2013 11:25:11 GMT
where to get the datasets?
Whether in
Active Competitions <http://www.kaggle.com/competitions>


On Sat, Nov 9, 2013 at 4:51 PM, unmesha sreeveni <unmeshabiju@gmail.com>wrote:

> 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/>*
>



-- 
*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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