logLossElasticnet: Title

In Beuleup93/dgrGlm: Regression logistic binary tools

Description

Title

Usage

logLossElasticnet(theta, X, y, rho, C)

Arguments

theta	is a vector containing the parameters or coefficient of the logistic to be estimated
X	is the matrix of our predictor variables with the bias column
y	is a target variable to predict
rho	hyper parameter which allows arbitration between RDIGE and LASSO
C	parameter allowing to arbitrate between the penalty and the likelihood in the guidance of the modeling

Value

a scalar of the penalized cost function

Examples

## Not run: 
  logLossElasticnet(theta, X, y,l1,l2)

## End(Not run)

Beuleup93/dgrGlm documentation built on Dec. 17, 2021, 10:50 a.m.