On Sun, Apr 1, 2018 at 6:36 PM, Randy Ellis wrote:
> Hello to the Scikit-learn community!
>
> I am doing case-control matching for an electronic health records study.
> My question is, is it possible to run Sklearn's NearestNeighbors function
> without replacement? As in, match the treated group
Hello to the Scikit-learn community!
I am doing case-control matching for an electronic health records study. My
question is, is it possible to run Sklearn's NearestNeighbors function
without replacement? As in, match the treated group to the untreated group
without re-using any of the untreated g
Hey Manoj,
I think that the following link can help you to solve your problem.
http://scikit-learn.org/stable/developers/contributing.html#random-numbers
Best,
Chris
On Sat, Mar 31, 2018 at 5:38 AM, Manoj Karthick wrote:
> I am working on adding a new estimator to the scikit-learn library, b
Hi Roberto,
One option it could be to make a wrapper and serialize your pipeline in
your wrapper's fit method.
After the serialization you could load the pipeline anytime and inspect
whatever you want.
I have coded an example in the following gist.
https://gist.github.com/chkoar/2993a6e3f6bae188