Yes... that's what I mean. Could i do a similar thing to get around/use
other methods
besides SGA and Trees.
On 17 November 2012 11:26, Richard T. Guy <[email protected]> wrote:
> It only makes sense train a tree on a subset as part of an ensembl method,
> and in that case you can train a set of trees by training each one on a
> subset of the data (be sure to randomly choose the subset though).
>
> It's true that ensembl methods like RandomForest don't have partial_fit,
> but you could still train the model on subsets and combine them.
>
> Tommy
>
>
> On Sat, Nov 17, 2012 at 11:19 AM, Ronnie Ghose <[email protected]>wrote:
>
>> See you guys just said I could use trees on subsets and they will work
>> well.
>>
>> So why not partial_fits + trees?
>>
>>
>> On 17 November 2012 11:12, Gael Varoquaux
>> <[email protected]>wrote:
>>
>>> On Sat, Nov 17, 2012 at 11:10:52AM -0500, Ronnie Ghose wrote:
>>> > hmm i'm asking is it possible to run all of the typical ~ whatever that
>>> > means ~ models in sklearn on a subset of that data and have it work
>>> > pretty well most of the time?
>>>
>>> No, only those that have 'partial_fit'.
>>>
>>> G
>>>
>>>
>>>
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