Ill do that.
Thanks a lot.
Gunjan
On Sat, Feb 13, 2016 at 6:04 AM, Mathieu Blondel <math...@mblondel.org>
wrote:
> It seems like our svmlight reader doesn't support spaces between labels:
>
> https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/datasets/_svmlight_format.pyx#L71
>
> Could you report an issue on github?
>
> In the mean time, you can write a small Python script that deletes the
> space between labels.
>
> Mathieu
>
> On Fri, Feb 12, 2016 at 11:00 PM, Gunjan Dewan <dewangunjan6...@gmail.com>
> wrote:
>
>> 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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