Hi all,
I am aiming at calculating the p-value of regression models using scikit-learn,
in order to report their statistical significance. Aside from
permutation_test_score in scikit-learn, do you have any suggestions for
calculating the p-value of the model? Ultimately, I am interested in comp
Hi Afarin,
The short answer is no, you can't really compute p-values and related
statistics in Scikit-Learn.
This stems from a fundamental divide in statistics/AI between machine
learning on one hand, and statistical modeling on the other. A classic
treatment of this divide is "Statistical Modelin
Dear Afarin,
scikit-learn is designed for predictive modelling, where evaluation is done
out of sample (using train and test sets).
You seem to be looking for a package with which you can do classical
in-sample statistics and their corresponding evaluations among which
p-values. You are probably
The statsmodels package may have more of this kind of thing.
http://statsmodels.sourceforge.net/devel/glm.html
http://statsmodels.sourceforge.net/devel/dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.pvalues.html?highlight=pvalue
I assume you're talking about pvalues for a mode
:
<http://mail.python.org/pipermail/scikit-learn/attachments/20170203/3923ed4c/attachment-0001.html>
--
Message: 2
Date: Fri, 3 Feb 2017 13:51:07 -0800
From: Jacob Vanderplas
To: Scikit-learn user and developer mailing list
Subject: Re: [scikit-learn] Cal
Hello,
I ran LDA for dimensionality reduction, and got the following message on
the command prompt (not on the Jupyter Notebook):
"The priors do not sum to 1. Renormalizing", UserWarning
If I understand correctly, the prior = sum of y bincount/ len(y)? So, does
it mean I am getting this message d
Hello,
I am planning to buy office PC desktop for machine learning work. I wonder
if you could provide some recommendation on the computer specs and brand? I
don't need cloud capacity, just a standalone, but powerful desktop.. to
simplify, let's ignore the price.. i can scale down according to bud
