Thanks for the link!
On Mon, Feb 5, 2018 at 4:22 PM Aliaksandr Valialkin
wrote:
>
>
> On Tuesday, January 30, 2018 at 12:43:38 AM UTC+2, Sina Siadat wrote:
>>
>> Hi Sebastien,
>>
>> Thanks for your comment and question :)
>>
>> > I have one "drive-by-comment" and a question:
On Tuesday, January 30, 2018 at 12:43:38 AM UTC+2, Sina Siadat wrote:
>
> Hi Sebastien,
>
> Thanks for your comment and question :)
>
> > I have one "drive-by-comment" and a question:
> > you could have perhaps used gonum for the stats stuff :)
>
> Actually, I did start with gonum :)) but I
Thanks for sharing gradboostreg here.
Matt
On Tuesday, January 30, 2018 at 12:47:33 AM UTC-6, Sina Siadat wrote:
>
> Hi Matt,
>
> Thank you for the code review!
>
>
>
> > gradboostreg/tree, stat, sample have no tests.
>
> Yes, thanks for reminder, I should write tests for them!
>
>
>
>
Hi Matt,
Thank you for the code review!
> gradboostreg/tree, stat, sample have no tests.
Yes, thanks for reminder, I should write tests for them!
> These sub-packages may be better in package gradboostreg since they seem
straightforward and contained to this library. Keeping those
Hi Sina, here’s a general code review.
gradboostreg/tree, stat, sample have no tests.
These sub-packages may be better in package gradboostreg since they seem
straightforward and contained to this library. Keeping those things in
sub-packages doesn’t seem to add much value over just having
Hi Sebastien,
Thanks for your comment and question :)
> I have one "drive-by-comment" and a question:
> you could have perhaps used gonum for the stats stuff :)
Actually, I did start with gonum :)) but I thought it was a large
dependency and I only needed a few funcs from it, so I decided to
hi Sina,
On Mon, Jan 29, 2018 at 10:25 PM, Sina Siadat wrote:
> Hi all!
>
> I just wrote a simple gradient regressor in Go. Gradient boosting is a
> statistical learning method. Given a number of samples it returns a
> function that fits the those data and can be used to