When calling easy_glmnet, coefficients from the
generate_coefficients output are processed by the
process_coefficients function and generated into
a plot. This plot tells us the direction, magnitude, and statistical
significance of each coefficient. Be careful using this plotting
method with datasets containing more than 20 variables as the plot
may not render as nicely.
plot_coefficients_processed(coefficients_processed)
| coefficients_processed | A data.frame, the output of the function |
|---|
A ggplot object. This plot may be rendered by outputting it to the command line or modified using ggplot semantics.
Other plot: plot_model_performance_binomial_auc_score,
plot_model_performance_gaussian_correlation_score,
plot_model_performance_gaussian_mse_score,
plot_model_performance_gaussian_r2_score,
plot_model_performance_histogram,
plot_predictions_binomial,
plot_predictions_gaussian,
plot_roc_curve,
plot_variable_importances_processed