In terms of accuracy. Runtime is not the problem.

Philipp

Am 01.06.2012 18:58, schrieb Andreas Mueller:
> Hi Philipp.
> Do you mean it performs worse in terms of accuracy or in terms of runtime?
> Cheers,
> Andy
>
> Am 01.06.2012 18:57, schrieb Philipp Singer:
>> Hey!
>>
>> So I havew tried it adding epsilon to my entries. My first intuition was
>> that it performs pretty similar to my old dense version.
>> But apparently I jsut hopped into cases where this method performs much
>> worse :(
>>
>> Any hints on that?
>>
>> Regards,
>> Philipp
>>
>> Am 30.05.2012 15:52, schrieb Andreas Mueller:
>>> Hi Philipp.
>>> The problem with using sparse matrices is that adding an epsilon
>>> would make them dense. I haven't really looked at it but I think
>>> it should somehow be possible to use this approximation also
>>> on sparse matrices.
>>> Cheers,
>>> Andy
>>>
>>> Am 30.05.2012 15:45, schrieb Philipp Singer:
>>>> Hey Andy!
>>>>
>>>> Yep I am using it successfully ;)
>>>>
>>>> The idea with adding epsilon sounds legit. I will try it definitely out.
>>>>
>>>> I think it would be nice if you could add it to your code. Would make it
>>>> also easier to work with sparse matrix.
>>>>
>>>> Regards,
>>>> Philipp
>>>>
>>>>> Hi Philipp.
>>>>> Great to hear that someone is using that :)
>>>>>
>>>>> The problem is that the approximation uses a "log".
>>>>> Afaik even the exact kernel is not defined if two features are compared
>>>>> that are both exactly zeros.
>>>>> Usually I just work around that by adding an epsilon.
>>>>> I was considering adding that to the code. What do you think?
>>>>>
>>>>> Cheers,
>>>>> Andy
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