glmnet (version 4.1-1)

print.glmnet: print a glmnet object

Description

Print a summary of the glmnet path at each step along the path.

Usage

# S3 method for glmnet
print(x, digits = max(3, getOption("digits") - 3), ...)

Arguments

x

fitted glmnet object

digits

significant digits in printout

additional print arguments

Value

The matrix above is silently returned

Details

The call that produced the object x is printed, followed by a three-column matrix with columns Df, %Dev and Lambda. The Df column is the number of nonzero coefficients (Df is a reasonable name only for lasso fits). %Dev is the percent deviance explained (relative to the null deviance). In the case of a 'relaxed' fit, an additional column is inserted, %Dev R which gives the percent deviance explained by the relaxed model. For a "bigGlm" model, a simpler summary is printed.

References

Friedman, J., Hastie, T. and Tibshirani, R. (2008). Regularization Paths for Generalized Linear Models via Coordinate Descent

See Also

glmnet, predict and coef methods.

Examples

Run this code
# NOT RUN {
x = matrix(rnorm(100 * 20), 100, 20)
y = rnorm(100)
fit1 = glmnet(x, y)
print(fit1)
# }

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