fit_logistic_ridge: fit a regularized logistic regression model (ridge penalty)
In nanxstats/logreg: Regularized Logistic Regressions with Computational Graphs
Description
fit a regularized logistic regression model (ridge penalty)
Usage
1
fit_logistic_ridge(x, y, learning_rate = 0.05, n_epochs = 1, lambda = 1)
Arguments
x
predictor matrix (n x p)
y
response matrix (n x 1)
learning_rate
learning rate
n_epochs
number of epoches
lambda
regularization parameter
nanxstats/logreg documentation built on Dec. 31, 2021, 2:01 p.m.
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Description
fit a regularized logistic regression model (ridge penalty)
Usage
1 | fit_logistic_ridge(x, y, learning_rate = 0.05, n_epochs = 1, lambda = 1)
|
Arguments
x |
predictor matrix (n x p) |
y |
response matrix (n x 1) |
learning_rate |
learning rate |
n_epochs |
number of epoches |
lambda |
regularization parameter |
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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