gd_logistic_regression: Solve logistic regression problem via gradient descent/ascent
In jcorrett/stats230.Rpackage: STATS230 R Functions
View source: R/gd_logistic_regression.R
gd_logistic_regression R Documentation
Solve logistic regression problem via gradient descent/ascent
Description
Solve logistic regression problem via gradient descent/ascent
Usage
gd_logistic_regression(X, y, alpha, tol)
Arguments
X
A n by d matrix
y
A n by 1 column vector
alpha
A positive integer learning rate
tol
A non-negative error tolerance
jcorrett/stats230.Rpackage documentation built on March 21, 2022, 5:36 a.m.
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View source: R/gd_logistic_regression.R
| gd_logistic_regression | R Documentation |
Solve logistic regression problem via gradient descent/ascent
Description
Solve logistic regression problem via gradient descent/ascent
Usage
gd_logistic_regression(X, y, alpha, tol)
Arguments
X |
A n by d matrix |
y |
A n by 1 column vector |
alpha |
A positive integer learning rate |
tol |
A non-negative error tolerance |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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