Thanks, Joel. From your response I assume that the use of a y argument to
score_samples is not a violation of the sklearn API, so I'll keep the
method and find a workaround for the check_estimator test as it's currently
written. I'll comment on the issue as well.
On Mon, Dec 10, 2018 at 2:58 P
"Elements of Statistical Learning" is on my bookshelf, but even so, that
was a great summary!
J.B.
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They are very different statistical models from a mathematical point of
view. See the online scikit-learn documentation or reference text books
such as "Elements of Statistical Learning" for more details.
In practice, linear model tends to be faster to fit on large data,
especially when the number
Hi all,
I finally had some time to start looking at it the last days. Some
preliminary work can be found here:
https://github.com/jorisvandenbossche/target-encoder-benchmarks.
Up to now, I only did some preliminary work to set up the benchmarks (based
on Patricio Cerda's code, https://arxiv.org/p
