Man pages for berthetclement/spam
Model analisys on data spam
| analyse_modele | glm model summary |
| conf_mat | Matrice de confusion. |
| conf_mat_rpart | Matrice de confusion pour rpart. |
| cv_glm_net | Cross-validation for glmnet |
| def_model_keras | Define neuronal model with Keras |
| fit_keras | Execute neuronal model with Keras |
| ft_conf_tab | Donnees de la matrice de confusion 'flextable()'. |
| gg_bar | Proportion Email/Spam. |
| gg_bar_group | Average bar plot by group Email/Spam. |
| gg_keras | Plot keras training model |
| gg_pi | Distribution des '$p_{xi}$' |
| gg_roc | Courbe ROC GLM |
| gg_rpart | Dendrogram with ggplot2 |
| gg_tile | Analyse descriptive avec geom_tile(). |
| glm_logit | glm model |
| glm_net | fit a GLM with Lasso or Ridge or elasticnet regularization |
| make_train_test_list | Make data set train/test. |
| pred_glm_net | Generalised predict function for 'glmnet()' models. |
| predict_broom | Generalised predict function |
| pred_keras | Vector of predictions for keras 'fit()' models. |
| pred_rpart | Vector of predictions for 'rpart()' models. |
| read_spam | Import des donnees "spam" (.txt). |
| rename_static | Reommage des variables (statique). |
| tree_rpart | Recursive Partitioning and Regression Trees |
