Re: [scikit-learn] (no subject)

You can refer to https://scikit-learn.org/stable/about.html#citing-scikit-learn depending what is the scope of your research paper. -- Guillaume Lemaitre Scikit-learn @ Inria Foundation https://glemaitre.github.io/ > On 10 Nov 2021

Re: [scikit-learn] (no subject)

I did some more tests.  My issue that I brought up may be related to the custom kernel.  On Thursday, May 24, 2018, 12:49:34 PM PDT, Gael Varoquaux wrote: On Thu, May 24, 2018 at 09:35:00PM +0530, aijaz qazi wrote: > scikit- multi learn is misleading. Yes, but I am not sure what sci

Re: [scikit-learn] (no subject)

On Thu, May 24, 2018 at 09:35:00PM +0530, aijaz qazi wrote: > scikit- multi learn is misleading. Yes, but I am not sure what scikit-learn should do about this. Gaël ___ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/li

Re: [scikit-learn] (no subject)

Try this: https://jakevdp.github.io/PythonDataScienceHandbook/ On 03/28/2018 11:49 PM, PARK Jinwoo wrote: Dear scikit-learn experts Hello, I am a graduate school student majoring in doping control analysis in Korea. Now I'm in a research institute that carries out doping control analyses. I re

Re: [scikit-learn] (no subject)

On Fri, Feb 09, 2018 at 01:10:48PM +0100, Erik Fransson wrote: > Is it simply running a normal lasso fit with all of the training data > available > using the optimal alpha? > And are these the parameters stored in .coef_? Yes. G ___ scikit-learn maili