print.glmnet {glmnet} | R Documentation |
Print a summary of the glmnet path at each step along the path.
## S3 method for class 'glmnet'
print(x, digits = max(3, getOption("digits") - 3), ...)
x |
fitted glmnet object |
digits |
significant digits in printout |
... |
additional print arguments |
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.
The matrix above is silently returned
Friedman, J., Hastie, T. and Tibshirani, R. (2008). Regularization Paths for Generalized Linear Models via Coordinate Descent
glmnet
, predict
and coef
methods.
x = matrix(rnorm(100 * 20), 100, 20)
y = rnorm(100)
fit1 = glmnet(x, y)
print(fit1)