I apologise if I haven't been as active as I would have liked -- I had my
wisdom teeth removed on Tuesday (ouch!).
Daniel -- are you interested in becoming a mentor for this project?
On the LSH forest, I don't have experience with it, but I think Daniel's
point probably allows it to be included. It is an improvement on a standard
algorithm.
(That said, I've always had the opinion of erring on the side of inclusion,
but I understand the push-back on this).
On the data structure, it is my strong preference to make it work in
"native" numpy, if that is possible (i.e. without doing ugly hacks). This
is due mainly to long-term maintainability -- i.e. if we need to fix a bug
and you aren't around, will someone with numpy/scipy experience be able to
work out what is going on?
*That said*, it would be good to allocate some extra time for the analysis
of other data structures in the GSoC project scope. Something like "Week
8-12: Implement other data structure and test in comparison to existing
method". I'm not sure if the GSoC accepts projects with that sort of risk,
I'll find out.
Thanks,
Robert
On 13 March 2014 07:00, Maheshakya Wijewardena <[email protected]>wrote:
> In this case, I think the entire structure can be implemented in numpy
> arrays as they contain an (can be performed on) every operation required
> this LSH forest implementation. But I'm not aware of this cost/benefit
> analysis. I need help of those who have more experience.
> Robert, can you give me some assistance here?
>
>
> On Wed, Mar 12, 2014 at 10:33 PM, Gael Varoquaux <
> [email protected]> wrote:
>
>> > Gaël, What is the status of the evaluation of the cost to benefit ratio
>> for
>> > this?
>>
>> I don't know. I just cannot be an expert of everything machine-learning
>> related. Somebody needs to do a cost-benefit analysis. Ideally different
>> people should comment on it. And yes, it's challenging.
>>
>> > I would appreciate it if we can decide on storing structure for the LSH
>> > implementation quickly as I have to make a sound plan for this project.
>>
>> Well, anything that uses structure more complex than numpy arrays is much
>> harder to develop and maintain. You need to factor this in the
>> cost/benefit analysis. Once again, I stress: much harder!
>>
>> G
>>
>>
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>
>
> --
> Undergraduate,
> Department of Computer Science and Engineering,
> Faculty of Engineering.
> University of Moratuwa,
> Sri Lanka
>
>
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