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Posted to user@hadoop.apache.org by unmesha sreeveni <un...@gmail.com> on 2013/11/08 06:14:54 UTC
SVM implementaion
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/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
http://www.distilnetworks.com/
They are using svm right?
On Mon, Nov 11, 2013 at 11:52 AM, unmesha sreeveni <un...@gmail.com>wrote:
> can any one share a file with 1/-1 classification dataset..??
>
>
> On Mon, Nov 11, 2013 at 11:26 AM, unmesha sreeveni <un...@gmail.com>wrote:
>
>> I am searching for numeric values loke Spam Classification..
>>
>>
>> On Mon, Nov 11, 2013 at 11:21 AM, unmesha sreeveni <unmeshabiju@gmail.com
>> > wrote:
>>
>>> it seems like all are image files...
>>>
>>>
>>> On Sat, Nov 9, 2013 at 4:55 PM, unmesha sreeveni <un...@gmail.com>wrote:
>>>
>>>> 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 <ro...@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 <un...@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 <un...@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/>*
>>>>
>>>
>>>
>>>
>>> --
>>> *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*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
http://www.distilnetworks.com/
They are using svm right?
On Mon, Nov 11, 2013 at 11:52 AM, unmesha sreeveni <un...@gmail.com>wrote:
> can any one share a file with 1/-1 classification dataset..??
>
>
> On Mon, Nov 11, 2013 at 11:26 AM, unmesha sreeveni <un...@gmail.com>wrote:
>
>> I am searching for numeric values loke Spam Classification..
>>
>>
>> On Mon, Nov 11, 2013 at 11:21 AM, unmesha sreeveni <unmeshabiju@gmail.com
>> > wrote:
>>
>>> it seems like all are image files...
>>>
>>>
>>> On Sat, Nov 9, 2013 at 4:55 PM, unmesha sreeveni <un...@gmail.com>wrote:
>>>
>>>> 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 <ro...@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 <un...@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 <un...@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/>*
>>>>
>>>
>>>
>>>
>>> --
>>> *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*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
http://www.distilnetworks.com/
They are using svm right?
On Mon, Nov 11, 2013 at 11:52 AM, unmesha sreeveni <un...@gmail.com>wrote:
> can any one share a file with 1/-1 classification dataset..??
>
>
> On Mon, Nov 11, 2013 at 11:26 AM, unmesha sreeveni <un...@gmail.com>wrote:
>
>> I am searching for numeric values loke Spam Classification..
>>
>>
>> On Mon, Nov 11, 2013 at 11:21 AM, unmesha sreeveni <unmeshabiju@gmail.com
>> > wrote:
>>
>>> it seems like all are image files...
>>>
>>>
>>> On Sat, Nov 9, 2013 at 4:55 PM, unmesha sreeveni <un...@gmail.com>wrote:
>>>
>>>> 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 <ro...@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 <un...@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 <un...@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/>*
>>>>
>>>
>>>
>>>
>>> --
>>> *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*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
http://www.distilnetworks.com/
They are using svm right?
On Mon, Nov 11, 2013 at 11:52 AM, unmesha sreeveni <un...@gmail.com>wrote:
> can any one share a file with 1/-1 classification dataset..??
>
>
> On Mon, Nov 11, 2013 at 11:26 AM, unmesha sreeveni <un...@gmail.com>wrote:
>
>> I am searching for numeric values loke Spam Classification..
>>
>>
>> On Mon, Nov 11, 2013 at 11:21 AM, unmesha sreeveni <unmeshabiju@gmail.com
>> > wrote:
>>
>>> it seems like all are image files...
>>>
>>>
>>> On Sat, Nov 9, 2013 at 4:55 PM, unmesha sreeveni <un...@gmail.com>wrote:
>>>
>>>> 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 <ro...@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 <un...@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 <un...@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/>*
>>>>
>>>
>>>
>>>
>>> --
>>> *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*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
can any one share a file with 1/-1 classification dataset..??
On Mon, Nov 11, 2013 at 11:26 AM, unmesha sreeveni <un...@gmail.com>wrote:
> I am searching for numeric values loke Spam Classification..
>
>
> On Mon, Nov 11, 2013 at 11:21 AM, unmesha sreeveni <un...@gmail.com>wrote:
>
>> it seems like all are image files...
>>
>>
>> On Sat, Nov 9, 2013 at 4:55 PM, unmesha sreeveni <un...@gmail.com>wrote:
>>
>>> 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 <un...@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 <ro...@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 <un...@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 <un...@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/>*
>>>
>>
>>
>>
>> --
>> *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/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
can any one share a file with 1/-1 classification dataset..??
On Mon, Nov 11, 2013 at 11:26 AM, unmesha sreeveni <un...@gmail.com>wrote:
> I am searching for numeric values loke Spam Classification..
>
>
> On Mon, Nov 11, 2013 at 11:21 AM, unmesha sreeveni <un...@gmail.com>wrote:
>
>> it seems like all are image files...
>>
>>
>> On Sat, Nov 9, 2013 at 4:55 PM, unmesha sreeveni <un...@gmail.com>wrote:
>>
>>> 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 <un...@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 <ro...@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 <un...@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 <un...@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/>*
>>>
>>
>>
>>
>> --
>> *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/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
can any one share a file with 1/-1 classification dataset..??
On Mon, Nov 11, 2013 at 11:26 AM, unmesha sreeveni <un...@gmail.com>wrote:
> I am searching for numeric values loke Spam Classification..
>
>
> On Mon, Nov 11, 2013 at 11:21 AM, unmesha sreeveni <un...@gmail.com>wrote:
>
>> it seems like all are image files...
>>
>>
>> On Sat, Nov 9, 2013 at 4:55 PM, unmesha sreeveni <un...@gmail.com>wrote:
>>
>>> 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 <un...@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 <ro...@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 <un...@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 <un...@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/>*
>>>
>>
>>
>>
>> --
>> *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/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
can any one share a file with 1/-1 classification dataset..??
On Mon, Nov 11, 2013 at 11:26 AM, unmesha sreeveni <un...@gmail.com>wrote:
> I am searching for numeric values loke Spam Classification..
>
>
> On Mon, Nov 11, 2013 at 11:21 AM, unmesha sreeveni <un...@gmail.com>wrote:
>
>> it seems like all are image files...
>>
>>
>> On Sat, Nov 9, 2013 at 4:55 PM, unmesha sreeveni <un...@gmail.com>wrote:
>>
>>> 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 <un...@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 <ro...@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 <un...@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 <un...@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/>*
>>>
>>
>>
>>
>> --
>> *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/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
I am searching for numeric values loke Spam Classification..
On Mon, Nov 11, 2013 at 11:21 AM, unmesha sreeveni <un...@gmail.com>wrote:
> it seems like all are image files...
>
>
> On Sat, Nov 9, 2013 at 4:55 PM, unmesha sreeveni <un...@gmail.com>wrote:
>
>> 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 <un...@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 <un...@gmail.com>wrote:
>>>
>>>> 1/-1 is not available?
>>>>
>>>>
>>>> On Fri, Nov 8, 2013 at 7:58 PM, Robin East <ro...@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 <un...@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 <mi...@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 <un...@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/>*
>>
>
>
>
> --
> *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/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
I am searching for numeric values loke Spam Classification..
On Mon, Nov 11, 2013 at 11:21 AM, unmesha sreeveni <un...@gmail.com>wrote:
> it seems like all are image files...
>
>
> On Sat, Nov 9, 2013 at 4:55 PM, unmesha sreeveni <un...@gmail.com>wrote:
>
>> 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 <un...@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 <un...@gmail.com>wrote:
>>>
>>>> 1/-1 is not available?
>>>>
>>>>
>>>> On Fri, Nov 8, 2013 at 7:58 PM, Robin East <ro...@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 <un...@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 <mi...@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 <un...@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/>*
>>
>
>
>
> --
> *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/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
I am searching for numeric values loke Spam Classification..
On Mon, Nov 11, 2013 at 11:21 AM, unmesha sreeveni <un...@gmail.com>wrote:
> it seems like all are image files...
>
>
> On Sat, Nov 9, 2013 at 4:55 PM, unmesha sreeveni <un...@gmail.com>wrote:
>
>> 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 <un...@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 <un...@gmail.com>wrote:
>>>
>>>> 1/-1 is not available?
>>>>
>>>>
>>>> On Fri, Nov 8, 2013 at 7:58 PM, Robin East <ro...@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 <un...@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 <mi...@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 <un...@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/>*
>>
>
>
>
> --
> *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/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
I am searching for numeric values loke Spam Classification..
On Mon, Nov 11, 2013 at 11:21 AM, unmesha sreeveni <un...@gmail.com>wrote:
> it seems like all are image files...
>
>
> On Sat, Nov 9, 2013 at 4:55 PM, unmesha sreeveni <un...@gmail.com>wrote:
>
>> 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 <un...@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 <un...@gmail.com>wrote:
>>>
>>>> 1/-1 is not available?
>>>>
>>>>
>>>> On Fri, Nov 8, 2013 at 7:58 PM, Robin East <ro...@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 <un...@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 <mi...@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 <un...@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/>*
>>
>
>
>
> --
> *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/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
it seems like all are image files...
On Sat, Nov 9, 2013 at 4:55 PM, unmesha sreeveni <un...@gmail.com>wrote:
> 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 <un...@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 <un...@gmail.com>wrote:
>>
>>> 1/-1 is not available?
>>>
>>>
>>> On Fri, Nov 8, 2013 at 7:58 PM, Robin East <ro...@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 <un...@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 <mi...@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 <un...@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/>*
>
--
*Thanks & Regards*
Unmesha Sreeveni U.B
*Junior Developer*
*Amrita Center For Cyber Security*
* Amritapuri.www.amrita.edu/cyber/ <http://www.amrita.edu/cyber/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
it seems like all are image files...
On Sat, Nov 9, 2013 at 4:55 PM, unmesha sreeveni <un...@gmail.com>wrote:
> 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 <un...@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 <un...@gmail.com>wrote:
>>
>>> 1/-1 is not available?
>>>
>>>
>>> On Fri, Nov 8, 2013 at 7:58 PM, Robin East <ro...@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 <un...@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 <mi...@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 <un...@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/>*
>
--
*Thanks & Regards*
Unmesha Sreeveni U.B
*Junior Developer*
*Amrita Center For Cyber Security*
* Amritapuri.www.amrita.edu/cyber/ <http://www.amrita.edu/cyber/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
it seems like all are image files...
On Sat, Nov 9, 2013 at 4:55 PM, unmesha sreeveni <un...@gmail.com>wrote:
> 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 <un...@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 <un...@gmail.com>wrote:
>>
>>> 1/-1 is not available?
>>>
>>>
>>> On Fri, Nov 8, 2013 at 7:58 PM, Robin East <ro...@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 <un...@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 <mi...@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 <un...@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/>*
>
--
*Thanks & Regards*
Unmesha Sreeveni U.B
*Junior Developer*
*Amrita Center For Cyber Security*
* Amritapuri.www.amrita.edu/cyber/ <http://www.amrita.edu/cyber/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
it seems like all are image files...
On Sat, Nov 9, 2013 at 4:55 PM, unmesha sreeveni <un...@gmail.com>wrote:
> 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 <un...@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 <un...@gmail.com>wrote:
>>
>>> 1/-1 is not available?
>>>
>>>
>>> On Fri, Nov 8, 2013 at 7:58 PM, Robin East <ro...@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 <un...@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 <mi...@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 <un...@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/>*
>
--
*Thanks & Regards*
Unmesha Sreeveni U.B
*Junior Developer*
*Amrita Center For Cyber Security*
* Amritapuri.www.amrita.edu/cyber/ <http://www.amrita.edu/cyber/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
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 <un...@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 <un...@gmail.com>wrote:
>
>> 1/-1 is not available?
>>
>>
>> On Fri, Nov 8, 2013 at 7:58 PM, Robin East <ro...@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 <un...@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 <mi...@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 <un...@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/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
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 <un...@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 <un...@gmail.com>wrote:
>
>> 1/-1 is not available?
>>
>>
>> On Fri, Nov 8, 2013 at 7:58 PM, Robin East <ro...@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 <un...@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 <mi...@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 <un...@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/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
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 <un...@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 <un...@gmail.com>wrote:
>
>> 1/-1 is not available?
>>
>>
>> On Fri, Nov 8, 2013 at 7:58 PM, Robin East <ro...@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 <un...@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 <mi...@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 <un...@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/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
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 <un...@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 <un...@gmail.com>wrote:
>
>> 1/-1 is not available?
>>
>>
>> On Fri, Nov 8, 2013 at 7:58 PM, Robin East <ro...@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 <un...@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 <mi...@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 <un...@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/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
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 <un...@gmail.com>wrote:
> 1/-1 is not available?
>
>
> On Fri, Nov 8, 2013 at 7:58 PM, Robin East <ro...@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 <un...@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 <un...@gmail.com>wrote:
>>
>>> thx Mirko Kampf
>>>
>>>
>>> On Fri, Nov 8, 2013 at 10:48 AM, Mirko Kämpf <mi...@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 <un...@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/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
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 <un...@gmail.com>wrote:
> 1/-1 is not available?
>
>
> On Fri, Nov 8, 2013 at 7:58 PM, Robin East <ro...@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 <un...@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 <un...@gmail.com>wrote:
>>
>>> thx Mirko Kampf
>>>
>>>
>>> On Fri, Nov 8, 2013 at 10:48 AM, Mirko Kämpf <mi...@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 <un...@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/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
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 <un...@gmail.com>wrote:
> 1/-1 is not available?
>
>
> On Fri, Nov 8, 2013 at 7:58 PM, Robin East <ro...@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 <un...@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 <un...@gmail.com>wrote:
>>
>>> thx Mirko Kampf
>>>
>>>
>>> On Fri, Nov 8, 2013 at 10:48 AM, Mirko Kämpf <mi...@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 <un...@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/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
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 <un...@gmail.com>wrote:
> 1/-1 is not available?
>
>
> On Fri, Nov 8, 2013 at 7:58 PM, Robin East <ro...@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 <un...@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 <un...@gmail.com>wrote:
>>
>>> thx Mirko Kampf
>>>
>>>
>>> On Fri, Nov 8, 2013 at 10:48 AM, Mirko Kämpf <mi...@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 <un...@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/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
1/-1 is not available?
On Fri, Nov 8, 2013 at 7:58 PM, Robin East <ro...@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 <un...@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 <un...@gmail.com>wrote:
>
>> thx Mirko Kampf
>>
>>
>> On Fri, Nov 8, 2013 at 10:48 AM, Mirko Kämpf <mi...@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 <un...@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/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
1/-1 is not available?
On Fri, Nov 8, 2013 at 7:58 PM, Robin East <ro...@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 <un...@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 <un...@gmail.com>wrote:
>
>> thx Mirko Kampf
>>
>>
>> On Fri, Nov 8, 2013 at 10:48 AM, Mirko Kämpf <mi...@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 <un...@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/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
1/-1 is not available?
On Fri, Nov 8, 2013 at 7:58 PM, Robin East <ro...@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 <un...@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 <un...@gmail.com>wrote:
>
>> thx Mirko Kampf
>>
>>
>> On Fri, Nov 8, 2013 at 10:48 AM, Mirko Kämpf <mi...@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 <un...@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/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
1/-1 is not available?
On Fri, Nov 8, 2013 at 7:58 PM, Robin East <ro...@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 <un...@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 <un...@gmail.com>wrote:
>
>> thx Mirko Kampf
>>
>>
>> On Fri, Nov 8, 2013 at 10:48 AM, Mirko Kämpf <mi...@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 <un...@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/>*
Re: SVM implementaion
Posted by Robin East <ro...@xense.co.uk>.
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 <un...@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 <un...@gmail.com> wrote:
>> thx Mirko Kampf
>>
>>
>> On Fri, Nov 8, 2013 at 10:48 AM, Mirko Kämpf <mi...@gmail.com> wrote:
>>> There are three Jira issues about it: Mahout-14 and Mahout-334 have been closed as won't fix. 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 but the training part - the hard part - was never published.
>>>
>>> There is a parallel SVM implementation that runs on MPI rather than Hadoop.
>>>
>>> This San Francisco Meetup abstract has some discussion of current state of the art and issues for parallel SVM.
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>> 2013/11/8 unmesha sreeveni <un...@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/
>>
>>
>>
>> --
>> Thanks & Regards
>>
>> Unmesha Sreeveni U.B
>> Junior Developer
>> Amrita Center For Cyber Security
>> Amritapuri.
>>
>> www.amrita.edu/cyber/
>
>
>
> --
> Thanks & Regards
>
> Unmesha Sreeveni U.B
> Junior Developer
> Amrita Center For Cyber Security
> Amritapuri.
>
> www.amrita.edu/cyber/
Re: SVM implementaion
Posted by Robin East <ro...@xense.co.uk>.
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 <un...@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 <un...@gmail.com> wrote:
>> thx Mirko Kampf
>>
>>
>> On Fri, Nov 8, 2013 at 10:48 AM, Mirko Kämpf <mi...@gmail.com> wrote:
>>> There are three Jira issues about it: Mahout-14 and Mahout-334 have been closed as won't fix. 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 but the training part - the hard part - was never published.
>>>
>>> There is a parallel SVM implementation that runs on MPI rather than Hadoop.
>>>
>>> This San Francisco Meetup abstract has some discussion of current state of the art and issues for parallel SVM.
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>> 2013/11/8 unmesha sreeveni <un...@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/
>>
>>
>>
>> --
>> Thanks & Regards
>>
>> Unmesha Sreeveni U.B
>> Junior Developer
>> Amrita Center For Cyber Security
>> Amritapuri.
>>
>> www.amrita.edu/cyber/
>
>
>
> --
> Thanks & Regards
>
> Unmesha Sreeveni U.B
> Junior Developer
> Amrita Center For Cyber Security
> Amritapuri.
>
> www.amrita.edu/cyber/
Re: SVM implementaion
Posted by Robin East <ro...@xense.co.uk>.
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 <un...@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 <un...@gmail.com> wrote:
>> thx Mirko Kampf
>>
>>
>> On Fri, Nov 8, 2013 at 10:48 AM, Mirko Kämpf <mi...@gmail.com> wrote:
>>> There are three Jira issues about it: Mahout-14 and Mahout-334 have been closed as won't fix. 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 but the training part - the hard part - was never published.
>>>
>>> There is a parallel SVM implementation that runs on MPI rather than Hadoop.
>>>
>>> This San Francisco Meetup abstract has some discussion of current state of the art and issues for parallel SVM.
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>> 2013/11/8 unmesha sreeveni <un...@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/
>>
>>
>>
>> --
>> Thanks & Regards
>>
>> Unmesha Sreeveni U.B
>> Junior Developer
>> Amrita Center For Cyber Security
>> Amritapuri.
>>
>> www.amrita.edu/cyber/
>
>
>
> --
> Thanks & Regards
>
> Unmesha Sreeveni U.B
> Junior Developer
> Amrita Center For Cyber Security
> Amritapuri.
>
> www.amrita.edu/cyber/
Re: SVM implementaion
Posted by Robin East <ro...@xense.co.uk>.
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 <un...@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 <un...@gmail.com> wrote:
>> thx Mirko Kampf
>>
>>
>> On Fri, Nov 8, 2013 at 10:48 AM, Mirko Kämpf <mi...@gmail.com> wrote:
>>> There are three Jira issues about it: Mahout-14 and Mahout-334 have been closed as won't fix. 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 but the training part - the hard part - was never published.
>>>
>>> There is a parallel SVM implementation that runs on MPI rather than Hadoop.
>>>
>>> This San Francisco Meetup abstract has some discussion of current state of the art and issues for parallel SVM.
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>> 2013/11/8 unmesha sreeveni <un...@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/
>>
>>
>>
>> --
>> Thanks & Regards
>>
>> Unmesha Sreeveni U.B
>> Junior Developer
>> Amrita Center For Cyber Security
>> Amritapuri.
>>
>> www.amrita.edu/cyber/
>
>
>
> --
> Thanks & Regards
>
> Unmesha Sreeveni U.B
> Junior Developer
> Amrita Center For Cyber Security
> Amritapuri.
>
> www.amrita.edu/cyber/
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
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 <un...@gmail.com>wrote:
> thx Mirko Kampf
>
>
> On Fri, Nov 8, 2013 at 10:48 AM, Mirko Kämpf <mi...@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 <un...@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/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
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 <un...@gmail.com>wrote:
> thx Mirko Kampf
>
>
> On Fri, Nov 8, 2013 at 10:48 AM, Mirko Kämpf <mi...@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 <un...@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/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
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 <un...@gmail.com>wrote:
> thx Mirko Kampf
>
>
> On Fri, Nov 8, 2013 at 10:48 AM, Mirko Kämpf <mi...@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 <un...@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/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
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 <un...@gmail.com>wrote:
> thx Mirko Kampf
>
>
> On Fri, Nov 8, 2013 at 10:48 AM, Mirko Kämpf <mi...@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 <un...@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/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
thx Mirko Kampf
On Fri, Nov 8, 2013 at 10:48 AM, Mirko Kämpf <mi...@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 <un...@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/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
thx Mirko Kampf
On Fri, Nov 8, 2013 at 10:48 AM, Mirko Kämpf <mi...@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 <un...@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/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
thx Mirko Kampf
On Fri, Nov 8, 2013 at 10:48 AM, Mirko Kämpf <mi...@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 <un...@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/>*
Re: SVM implementaion
Posted by unmesha sreeveni <un...@gmail.com>.
thx Mirko Kampf
On Fri, Nov 8, 2013 at 10:48 AM, Mirko Kämpf <mi...@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 <un...@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/>*
Re: SVM implementaion
Posted by Mirko Kämpf <mi...@gmail.com>.
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 <un...@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/>*
>
Re: SVM implementaion
Posted by Mirko Kämpf <mi...@gmail.com>.
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 <un...@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/>*
>
Re: SVM implementaion
Posted by Mirko Kämpf <mi...@gmail.com>.
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 <un...@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/>*
>
Re: SVM implementaion
Posted by Mirko Kämpf <mi...@gmail.com>.
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 <un...@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/>*
>