print.glmnet {glmnet} | R Documentation |

## print a glmnet object

### Description

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

### Usage

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

### Arguments

`x` |
fitted glmnet object |

`digits` |
significant digits in printout |

`...` |
additional print arguments |

### 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.

### Value

The matrix above is silently returned

### 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

```
x = matrix(rnorm(100 * 20), 100, 20)
y = rnorm(100)
fit1 = glmnet(x, y)
print(fit1)
```

*glmnet*version 4.1-8 Index]