Thanks for the link!
On Mon, Feb 5, 2018 at 4:22 PM Aliaksandr Valialkin <valy...@gmail.com>
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:
>> > 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
>> copy/write them!
>>
>> > and the question: did you compare your package with XGBoost (which is
>> now kind of a standard candle nowadays) in terms of accuracy, speed and
>> memory usage?
>>
>> ​I haven't used XGBoost yet, it looks pretty cool, thanks for mentioning
>> it. I will install it and see if I can compare the two.
>>
>
> Take a look at CatBoost - https://github.com/catboost/catboost . See also
> this link -
> https://www.quora.com/What-is-the-new-CatBoost-machine-learning-algorithm-and-how-does-it-compare-to-XGBoost
> .
>
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