y own. GridsearchCV give me just one pool of params, if they are
overfitting, i cant use gridsearchCV? Just having problems to understand
this.
On 12 May 2016 at 13:45, Olivier Grisel wrote:
> 2016-05-12 13:02 GMT+02:00 A neuman :
> > Thanks for the answer!
> >
> > but h
Thanks for the answer!
but how should i check that its overfitted or not?
best,
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Hello everyone,
I'm having a bit trouble with the parameters that I've got from
gridsearchCV.
For example:
If i'm using the parameter what i've got from grid seardh CV for example on
RF oder k-nn and i test the model on the train set, i get everytime an AUC
value about 1.00 or 0.99.
The dataset
t,
On 12 January 2016 at 19:18, Sebastian Raschka wrote:
> Hi, I am not sure how your custom metric works, but would a np.where(x >=
> 0.5, 1., 0.) work in your case?
>
> On Jan 12, 2016, at 1:08 PM, A neuman wrote:
>
> Sorry, thats not right what I wrote:
> X:
&
. 0. 0. 1. 0. 0. 0. 0.
0. 0. 0. 0. 0. 1. 0. 0. 1. 0. 1. 0. 0. 1. 0. 1. 1. 0.
1. 1. 1. 1. 0.]
and so on..
but X should be also containing 1's and 0's.
best,
On 12 January 2016 at 19:04, A neuman wrote:
> Hey,
>
> I Have an another problem,
>
have to count the occurences from 0's and 1's in x and y.
And if there are some other arrays
lik 0.636. I dont get the right solution. So in general, i only want
the array with 1 and 0
best,
On 9 January 2016 at 03:58, A neuman wrote:
> Ah, that helped me a lot!!!
ighbors(X)
> >>> distances
> array([[ 0., 1.],
>[ 0., 1.],
>[ 0., 1.41421356],
> [ 0. , 1.],
>[ 0., 1.],
>[ 0., 1.41421356]])
>
> (alt. you could
Hello everyone,
I actually want to use the KNeighboursClassifier, with my own distances.
in the Documentation stands the following:
[callable] : a user-defined function which accepts an array of distances,
and returns an array of the same shape containing the weights.
I just dont know, how shou
