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).
The matrix above is silently returned
Jerome Friedman, Trevor Hastie and Rob Tibshirani
Maintainer: Trevor Hastie <hastie@stanford.edu>
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)