On Tue, Dec 6, 2011 at 10:37 AM, Peter Prettenhofer
wrote:
> 2011/12/6 James Bergstra :
>> On Fri, Dec 2, 2011 at 12:54 PM, Peter Prettenhofer
>> wrote:
>>> [...]
>>>
>>
>> How does the current tree implementation support boosting? I don't see
>> anything in the code about weighted samples.
>>
>>
2011/12/6 James Bergstra :
> On Fri, Dec 2, 2011 at 12:54 PM, Peter Prettenhofer
> wrote:
>> [...]
>>
>
> How does the current tree implementation support boosting? I don't see
> anything in the code about weighted samples.
>
> - James
You're right - we don't support sample weights at the moment
On Fri, Dec 2, 2011 at 12:54 PM, Peter Prettenhofer
wrote:
> 2011/12/2 James Bergstra :
>> I'm looking at the decision tree code and I'm not seeing any pruning
>> logic, or other logic to prevent over-fitting (other than requiring
>> that leaf nodes be sufficiently populated). Decision trees are
2011/12/2 James Bergstra :
> I'm looking at the decision tree code and I'm not seeing any pruning
> logic, or other logic to prevent over-fitting (other than requiring
> that leaf nodes be sufficiently populated). Decision trees are not my
> specialty, but pruning / early stopping seem often to be
I'm looking at the decision tree code and I'm not seeing any pruning
logic, or other logic to prevent over-fitting (other than requiring
that leaf nodes be sufficiently populated). Decision trees are not my
specialty, but pruning / early stopping seem often to be mentioned in
connection with trees
