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0. One-Click Run All Models

library(E2E)

Overview

E2E provides three powerful one-click functions that automatically run comprehensive modeling pipelines:

int_dia(): Diagnostic modeling pipeline (52 model variants)
int_imbalance(): Imbalanced data diagnostic pipeline (64 model variants)
int_pro(): Prognostic modeling pipeline (24 model variants)

1. Diagnostic Pipeline

# Run all diagnostic models
results_dia <- int_dia(
  train_dia,
  test_dia,
  test_dia, #can be any other data
  tune = FALSE,
  n_estimators = 5,
  seed = 123
)

# Visualize results
#plot_integrated_results(results_dia, metric_name = "AUROC")

2. Imbalanced Data Pipeline

# Run all models including imbalance handling methods
results_imb <- int_imbalance(
  train_dia,
  test_dia,
  test_dia, #can be any other data
  tune = FALSE,
  n_estimators = 5,
  seed = 123
)

# Visualize results
#plot_integrated_results(results_imb, metric_name = "AUROC")

3. Prognostic Pipeline

# Run all prognostic models
results_pro <- int_pro(
  train_pro,
  test_pro,
  test_pro, #can be any other data
  tune = FALSE,
  n_estimators = 5,
  time_unit = "day",
  years_to_evaluate = c(1, 3, 5),
  seed = 123
)

# Visualize results (C-index)
#plot_integrated_results(results_pro, metric_name = "C-index")

Key Features

✅ Fully Automated: Run dozens of models with one line of code ✅ Multi-Dataset Evaluation: Evaluate on training and multiple test sets simultaneously ✅ Diverse Methods: Covers single models, Bagging, Stacking, and Voting ✅ Clear Visualization: Heatmaps display all results intuitively

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.