Confirmed!
*Randall J. Ellis, PhD*
Postdoc, Patel Lab
Department of Biomedical Informatics
Harvard Medical School
randalljellis.github.io
10 Shattuck St, Boston, MA 02115
On Tue, Apr 22, 2025 at 7:56 PM Rms Danaraj via scikit-learn <
scikit-learn@python.org> wrote:
>
>
> On Tue, Apr 22, 2025 at
Would this be difficult for a moderate user to implement in sklearn by
modifying the existing code base?
Estimation and Inference of Heterogeneous Treatment Effects using Random
Forests
342 citations in less than a year (Google Scholar):
https://amstat.tandfonline.com/doi/full/10.1080/01621459.20
Not sure if sklearn has one, but Tensorflow has Tensorhub
https://www.tensorflow.org/hub/
On Fri, Jun 8, 2018 at 7:32 AM, Francois Dion
wrote:
> Does anybody know of a repo or site that has scikit-learn pre-trained
> models / pipelines?
>
> There are specific projects that might include a model
cost matrix) and much more computing cost (n^3 instead of
> n^2) than a standard nearest-neighbor.
>
> Gaël
>
> On Mon, Apr 02, 2018 at 01:47:51PM -0400, Randy Ellis wrote:
> > Hi Jake,
>
> > Thanks for the reply. Yes, trying this out resulted from looking for
> ways in
cost (n^3 instead of
> n^2) than a standard nearest-neighbor.
>
> Gaël
>
> On Mon, Apr 02, 2018 at 01:47:51PM -0400, Randy Ellis wrote:
> > Hi Jake,
>
> > Thanks for the reply. Yes, trying this out resulted from looking for
> ways in
> > python to implement
e optimal pairing, but only that
> you can find a reasonable set of pairs, it will probably work out fine.
>Jake
>
> Jake VanderPlas
> Senior Data Science Fellow
> Director of Open Software
> University of Washington eScience Institute
>
> On Mon, Apr 2, 201
cement), the hope
is that enough controls are matched to many different cases so that each
case ends up being matched to 20 unique controls. Does this method make
sense??
Best,
Randy
On Sun, Apr 1, 2018 at 10:13 PM, Jacob Vanderplas wrote:
> On Sun, Apr 1, 2018 at 6:36 PM, Randy Ellis
>
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
