Dear Wouter,
for the SVM, scikit-learn wraps the LIBSVM and LIBLINEAR. I think the
scikit-learn class SVC uses LIBSVM for every kernel. Since you are using the
linear kernel, you could use the more efficient LinearSVC scikit-learn class to
get similar results. I guess this in turn is easier to
Hi Sebastian,
If you are looking to reduce the feature space for your model, I suggest
you look at the scikit-learn page on doing just that
http://scikit-learn.org/stable/modules/feature_selection.html
David
On 2018-05-04 12:00 PM, scikit-learn-requ...@python.org wrote:
Send scikit-learn m
Greetings,
This is Faraz Niyaghi from Oregon State University. I research on variable
selection using random forest. To the best of my knowledge, there is a
difference between scikit-learn's and Breiman's definition of feature
importance. Breiman uses out of bag (oob) cases to calculate feature
i
Not sure how it compares in practice, but it's certainly more efficient to rank
the features by impurity decrease rather than by OOB permutation performance
you wouldn't need to
a) compute the OOB performance (an extra pass inference step)
b) permute a feature column and do another inference pas
Faraz, take a look at the discussion of this issue here:
http://parrt.cs.usfca.edu/doc/rf-importance/index.html
Best,
Jeremiah
=
Jeremiah W. Johnson, Ph.D
Asst. Professor of Data Science
Program Coordinator, B.S. in Analytics & Data Science
University of Ne
Dear developers of Scikit ,
I am working on web page categorization with http://scikit.ml/ .
*Question*: I am not able to execute MLkNN code on the link
http://scikit.ml/api/classify.html. I have installed py 3.6.
I found scipy versions not compatible with scikit.ml 0.0.5.
Which version of s
Hi Aijaz,
On 05/05/18 07:31, aijaz qazi wrote:
> Dear developers of Scikit ,
Scikit is short for SciPy Toolkits (https://www.scipy.org/scikits.html);
there is a number of those. Scikit-learn started as one (and this is the
scikit-learn mailing list).
The package you are refering is based on
