2013/2/15 David Lambert :
>
> On Feb 14, 2013, at 6:52 PM, Lars Buitinck wrote:
>
>> 2013/2/15 :
>>> how about softmax?
>>
>> The model is not intended for probability outputs. A predict_proba is
>> not required; just implement a decision_function instead.
>
> Fair enough, and already done. For
On Feb 14, 2013, at 6:52 PM, Lars Buitinck wrote:
> 2013/2/15 :
>> how about softmax?
>
> The model is not intended for probability outputs. A predict_proba is
> not required; just implement a decision_function instead.
Fair enough, and already done. For my own education though, would
softma
2013/2/15 :
> how about softmax?
The model is not intended for probability outputs. A predict_proba is
not required; just implement a decision_function instead.
--
Lars Buitinck
Scientific programmer, ILPS
University of Amsterdam
how about softmax?
David Lambert schrieb:
>Given the method of determining the class predictions in the extreme
>learning machine classifier:
>
> class_predictions = np.argmax(raw_predictions, axis=1)
>
>where raw_predictions are the (potentially negative) linear regression
>outputs
> (see
Given the method of determining the class predictions in the extreme
learning machine classifier:
class_predictions = np.argmax(raw_predictions, axis=1)
where raw_predictions are the (potentially negative) linear regression
outputs
(see https://gist.github.com/larsmans/2493300)
what is
