API for easyml
Easily Build and Evaluate Machine Learning Models
| Global functions | |
|---|---|
| cocaine_dependence | Man page |
| correlation_test | Man page Source code |
| easy_analysis | Man page Source code |
| easy_avNNet | Man page Source code |
| easy_deep_neural_network | Man page Source code |
| easy_glinternet | Man page Source code |
| easy_glmnet | Man page Source code |
| easy_neural_network | Man page Source code |
| easy_random_forest | Man page Source code |
| easy_support_vector_machine | Man page Source code |
| easyml | Man page |
| easyml-package | Man page |
| extract_coefficients | Man page Source code |
| extract_coefficients.easy_glmnet | Man page Source code |
| extract_variable_importances | Man page Source code |
| extract_variable_importances.easy_random_forest | Man page Source code |
| fit_model | Man page Source code |
| fit_model.easy_avNNet | Man page Source code |
| fit_model.easy_deep_neural_network | Man page Source code |
| fit_model.easy_glinternet | Man page Source code |
| fit_model.easy_glmnet | Man page Source code |
| fit_model.easy_neural_network | Man page Source code |
| fit_model.easy_random_forest | Man page Source code |
| fit_model.easy_support_vector_machine | Man page Source code |
| generate_coefficients | Man page Source code |
| generate_model_performance | Man page Source code |
| generate_predictions | Man page Source code |
| generate_variable_importances | Man page Source code |
| measure_auc_score | Man page Source code |
| measure_correlation_score | Man page Source code |
| measure_mse_score | Man page |
| measure_r2_score | Man page Source code |
| onAttach | Source code |
| plot_coefficients_processed | Man page Source code |
| plot_model_performance_binomial_auc_score | Man page Source code |
| plot_model_performance_gaussian_correlation_score | Man page Source code |
| plot_model_performance_gaussian_mse_score | Man page Source code |
| plot_model_performance_gaussian_r2_score | Man page Source code |
| plot_model_performance_histogram | Man page Source code |
| plot_predictions_binomial | Man page Source code |
| plot_predictions_gaussian | Man page Source code |
| plot_roc_curve | Man page Source code |
| plot_variable_importances_processed | Man page Source code |
| predict_model | Man page Source code |
| predict_model.easy_avNNet | Man page Source code |
| predict_model.easy_deep_neural_network | Man page Source code |
| predict_model.easy_glinternet | Man page Source code |
| predict_model.easy_glmnet | Man page Source code |
| predict_model.easy_neural_network | Man page Source code |
| predict_model.easy_random_forest | Man page Source code |
| predict_model.easy_support_vector_machine | Man page Source code |
| preprocess_identity | Man page Source code |
| preprocess_scale | Man page Source code |
| process_coefficients | Man page Source code |
| process_variable_importances | Man page Source code |
| prostate | Man page |
| reduce_cores | Man page Source code |
| remove_variables | Man page Source code |
| resample_fold_train_test_split | Man page Source code |
| resample_simple_train_test_split | Man page Source code |
| resample_stratified_class_train_test_split | Man page Source code |
| resample_stratified_simple_train_test_split | Man page Source code |
| set_categorical_variables | Man page Source code |
| set_column_names | Man page Source code |
| set_cores | Man page Source code |
| set_dependent_variable | Man page Source code |
| set_independent_variables | Man page Source code |
| set_looper | Man page Source code |
| set_looper_ | Man page Source code |
| set_measure | Man page Source code |
| set_parallel | Man page Source code |
| set_plot_model_performance | Man page Source code |
| set_plot_predictions | Man page Source code |
| set_preprocess | Man page Source code |
| set_random_state | Man page Source code |
| set_resample | Man page Source code |
