print a glmnet object
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)
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