Run a tidylearn pipeline

Usage

tl_run_pipeline(pipeline, verbose = TRUE)

Arguments

pipeline: A tidylearn pipeline object
verbose: Logical; whether to print progress

Value

The input tidylearn_pipeline object with its $results component populated. Results include $processed_data (the training data after preprocessing), $preprocessing_stats (the medians, modes, centres and scales learned from the training data, replayed by tl_predict_pipeline), $model_results (a named list of per-model fits and metrics), $best_model_name, $best_model (the winning tidylearn_model), and $metric_values.

Examples

# \donttest{
pipe <- tl_pipeline(iris, Species ~ .,
  models = list(tree = list(method = "tree")),
  evaluation = list(metrics = "accuracy", validation = "cv",
    cv_folds = 2, best_metric = "accuracy"))
pipe <- tl_run_pipeline(pipe, verbose = FALSE)
# }