2014-07-04 10:28 GMT+02:00 Olivier Grisel :
> 2014-07-04 3:35 GMT+02:00 Dayvid Victor :
>> Should I do the classifier setup in the __init__ (passing all arguments of
>> the KNN to in the InstanceReduction constructor)?
>
> You might want to pass a KNN instance as `base_estimator` directly as
> the
2014-07-04 15:38 GMT+02:00 Dayvid Victor :
> Also, is there any plans to add a transform(X, y, axis=1) in the pipe?
> Is anybody working on that?
What would that mean. IMO this is a very confusing API. In particular
y can be 1D.
--
Olivier
---
Also, is there any plans to add a transform(X, y, axis=1) in the pipe?
Is anybody working on that?
Thanks,
On Fri, Jul 4, 2014 at 10:29 AM, Dayvid Victor
wrote:
> Hi Olivier,
>
> Thank you for your considerations. I'll follow your recomendations.
>
> Instance Reduction is the opposite of resa
Hi Olivier,
Thank you for your considerations. I'll follow your recomendations.
Instance Reduction is the opposite of resampling (like a inverse SMOTE);
So it would require the pipeline to accept transformers that change the
number of samples (axis=0 in the input data). Maybe in the future I coul
2014-07-04 3:35 GMT+02:00 Dayvid Victor :
> Hi Olivier,
>
> I solved this issue, but talking to some people in the maillist,
> they adviced me to start a new project (already referenced in the wiki)
> and latter think about include instance reduction in the sklearn.
>
> https://github.com/dvro/scik
Hi Olivier,
I solved this issue, but talking to some people in the maillist,
they adviced me to start a new project (already referenced in the wiki)
and latter think about include instance reduction in the sklearn.
https://github.com/dvro/scikit-protopy (name is not definite yet);
If you could t
Hi, indeed the generic exception catching / reraising of the test
common stuff is not very helpful.
You can add a test in you own test suite to check where it breaks in your code:
import scipy.sparse as sp
X_train_csr = sp.csr_matrix(X_train)
X_test_csr = sp.csr_matrix(X_test)
model = MyModel().
Hi Everybody,
I have some IR techniques implemented in Python, and I want to contribute
to sklearn. But I am having some trouble with sparse data:
https://github.com/dvro/scikit-learn/blob/instance_reduction/sklearn/instance_reduction/enn.py
Here is one of the techniques (I'll improve the style
