Hi Mathieu,
Thanks a lot for the help.
But even after changing the multilabel option it is giving a value error :
File "_svmlight_format.pyx", line 67, in
sklearn.datasets._svmlight_format._load_svmlight_file
(sklearn\datasets\_svmlight_format.c:2055)
ValueError: could not convert string to float:
But this time, it does not show any value after the error. Its blank.
Any idea why this is happening?
Gunjan
On Fri, Feb 12, 2016 at 6:59 PM, Mathieu Blondel <math...@mblondel.org>
wrote:
> Hi Gunjan,
>
> Apparently the dataset is multi-label, so you need to use the
> multilabel=True option.
>
>
> http://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_svmlight_file.html
>
> Mathieu
>
> On Fri, Feb 12, 2016 at 10:04 PM, Gunjan Dewan <dewangunjan6...@gmail.com>
> wrote:
>
>> Hi all,
>>
>> I am using the following dataset from kaggle (train.csv):
>> https://www.kaggle.com/c/lshtc/data
>>
>> The dataset is in libSVM format.
>>
>> However while trying to load it using load_svmlight_file, i get the
>> following error
>>
>> File "_svmlight_format.pyx", line 72, in
>> sklearn.datasets._svmlight_format._load_svmlight_file
>> (sklearn\datasets\_svmlight_format.c:2120)
>>
>> ValueError: could not convert string to float: b'Data'
>>
>> I then removed the header but it is still giving me the same value error.
>> Can anyone please help me out with this?
>>
>> I also wanted to know if there is any other way to convert the libSVM
>> format into 2 matrices.
>>
>> Note : I just started out with sklearn and machine learning.
>>
>> Thanks,
>> Gunjan
>>
>>
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