plot_hp_performance: Plot hyperparameter performance metrics

In SchlossLab/mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines

Plot hyperparameter performance metrics

Description

Plot hyperparameter performance metrics

Usage

plot_hp_performance(dat, param_col, metric_col)

Arguments

dat	dataframe of hyperparameters and performance metric (e.g. from get_hp_performance() or combine_hp_performance())
param_col	hyperparameter to be plotted. must be a column in dat.
metric_col	performance metric. must be a column in dat.

Value

ggplot of hyperparameter performance.

Author(s)

Zena Lapp, [e-mail]

Kelly Sovacool [e-mail]

Examples

# plot for a single `run_ml()` call
hp_metrics <- get_hp_performance(otu_mini_bin_results_glmnet$trained_model)
hp_metrics
plot_hp_performance(hp_metrics$dat, lambda, AUC)
## Not run: 
# plot for multiple `run_ml()` calls
results <- lapply(seq(100, 102), function(seed) {
  run_ml(otu_small, "glmnet", seed = seed)
})
models <- lapply(results, function(x) x$trained_model)
hp_metrics <- combine_hp_performance(models)
plot_hp_performance(hp_metrics$dat, lambda, AUC)

## End(Not run)

SchlossLab/mikropml documentation built on Aug. 24, 2023, 9:51 p.m.