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[Octave-bug-tracker] [bug #58651] [octave-forge](statistics) logistic_re
From: |
Muhali |
Subject: |
[Octave-bug-tracker] [bug #58651] [octave-forge](statistics) logistic_regression: what is actually done with >2 categories? |
Date: |
Wed, 24 Jun 2020 09:02:47 -0400 (EDT) |
User-agent: |
Mozilla/5.0 (X11; Linux x86_64; rv:77.0) Gecko/20100101 Firefox/77.0 |
URL:
<https://savannah.gnu.org/bugs/?58651>
Summary: [octave-forge](statistics) logistic_regression: what
is actually done with >2 categories?
Project: GNU Octave
Submitted by: muhali
Submitted on: Wed 24 Jun 2020 06:02:45 AM PDT
Category: None
Severity: 3 - Normal
Priority: 5 - Normal
Item Group: None
Status: None
Assigned to: None
Originator Name:
Originator Email:
Open/Closed: Open
Release: 5.2.0
Discussion Lock: Any
Operating System: GNU/Linux
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Details:
according to the help text, the logistic_regression function fits the model
logit (gamma_i (x)) = theta_i - beta' * x, i = 1 ... k-1
that is, a unique beta across all categories. This is in contrast to the
multinomial regressions that I know of, such as the Matlab function mnrfit, or
as described here
<https://en.wikipedia.org/wiki/Multinomial_logistic_regression>.
I think this needs to be clarified or corrected.
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<https://savannah.gnu.org/bugs/?58651>
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- [Octave-bug-tracker] [bug #58651] [octave-forge](statistics) logistic_regression: what is actually done with >2 categories?,
Muhali <=