This method provides a good visualization method for model results. Currently, only methods for glmnet models are implemented.
Arguments
- object
A model fit object.
- ...
For
autoplot.glmnet()
, options to pass toggrepel::geom_label_repel()
. Otherwise, this argument is ignored.- min_penalty
A single, non-negative number for the smallest penalty value that should be shown in the plot. If left
NULL
, the whole data range is used.- best_penalty
A single, non-negative number that will show a vertical line marker. If left
NULL
, no line is shown. When this argument is used, the ggrepl package is required.- top_n
A non-negative integer for how many model predictors to label. The top predictors are ranked by their absolute coefficient value. For multinomial or multivariate models, the
top_n
terms are selected within class or response, respectively.
Value
A ggplot object with penalty on the x-axis and coefficients on the y-axis. For multinomial or multivariate models, the plot is faceted.
Details
The glmnet package will need to be attached or loaded for
its autoplot()
method to work correctly.