R: Machine Learning Modelling for Everyone

# Machine Learning Modelling for Everyone

## Documentation for package ‘MLwrap’ version 0.4.0

- DESCRIPTION file
- Package README

## Help Pages

build_model | Create ML Model
fine_tuning | Fine Tune ML Model
MLwrap_tutorial | MLwrap Comprehensive Tutorial
plot_ale | Plot Accumulated Local Effects (ALE)
plot_calibration_curve | Plotting Calibration Curve
plot_confusion_matrix | Plotting Confusion Matrix
plot_distribution_by_class | Plotting Output Distribution By Class
plot_gain_curve | Plotting Gain Curve
plot_graph_nn | Plot Neural Network Architecture
plot_integrated_gradients | Plotting Integrated Gradients Plots
plot_lift_curve | Plotting Lift Curve
plot_loss_curve | Plot Neural Network Loss Curve
plot_olden | Plotting Olden Values Barplot
plot_pdp | Plot Partial Dependence (PDP)
plot_pfi | Plotting Permutation Feature Importance Barplot
plot_pr_curve | Plotting Precision-Recall Curve
plot_residuals_distribution | Plotting Residuals Distribution
plot_roc_curve | Plotting ROC Curve
plot_scatter_predictions | Plotting Observed vs Predictions
plot_scatter_residuals | Plotting Residuals vs Predictions
plot_shap | Plotting SHAP Plots
plot_sobol_jansen | Plotting Sobol-Jansen Values Barplot
plot_tuning_results | Plotting Tuner Search Results
preprocessing | Preprocessing Data Matrix
sensitivity_analysis | Perform Sensitivity Analysis and Interpretable ML methods
sim_data | sim_data
table_best_hyperparameters | Best Hyperparameters Configuration
table_evaluation_results | Evaluation Results
table_h2_total | Friedman's H-Statistic Table
table_integrated_gradients_results | Integrated Gradients Summarized Results Table
table_olden_results | Olden Results Table
table_pairwise_interaction | Friedman's H-Statistic Pairwise Interaction Table
table_pfi_results | Permutation Feature Importance Results Table
table_shap_results | SHAP Summarized Results Table
table_sobol_jansen_results | Sobol-Jansen Results Table
tutorial | MLwrap Comprehensive Tutorial