Man pages for shinymodels
Interactive Assessments of Models
| ames_mlp_itr | Iterative optimization of neural network |
| cars_bag_vfld | Resampled bagged tree results |
| cell_race | A CART classification tree tuned via racing |
| display_selected | Gets the config and translate to a sentence with the... |
| explore | Explore model results |
| first_class_prob_name | Returns the name of predictions column for the first level... |
| first_level | Returns the first level of a classification model |
| format_hover | Returns the hover columns to be displayed in interactive... |
| organize_data | Extract data from objects to use in a shiny app |
| performance_object | This function takes result of organize_data to calculate and... |
| pipe | Pipe operator |
| plot_multiclass_conf_mat | Visualizing the confusion matrix for a classification model |
| plot_multiclass_obs_pred | Visualizing predicted probability vs. true class for a... |
| plot_multiclass_pr | Visualizing the PR curve for a classification model |
| plot_multiclass_pred_factorcol | Visualizing the predicted probabilities vs. a factor variable... |
| plot_multiclass_pred_numcol | Visualizing the predicted probabilities vs. a numeric column... |
| plot_multiclass_roc | Visualizing the ROC curve for a classification model |
| plot_numeric_obs_pred | Visualizing observed vs. predicted values for a regression... |
| plot_numeric_res_factorcol | Visualizing residuals vs. a factor column for a regression... |
| plot_numeric_res_numcol | Visualizing residuals vs. a numeric column for a regression... |
| plot_numeric_res_pred | Visualizing residuals vs. predicted values for a regression... |
| plot_twoclass_conf_mat | Visualizing the confusion matrix for a classification model |
| plot_twoclass_obs_pred | Visualizing predicted probability vs. true class for a... |
| plot_twoclass_pr | Visualizing the PR curve for a classification model |
| plot_twoclass_pred_factorcol | Visualizing the predicted probabilities vs. a factor variable... |
| plot_twoclass_pred_numcol | Visualizing the predicted probabilities vs. a numeric column... |
| plot_twoclass_roc | Visualizing the ROC curve for a classification model |
| print.shiny_data | Returns the class, app type, y name, and the number of rows... |
| reexports | Objects exported from other packages |
| scat_fda_bt | Tuned flexible discriminant analysis results |
| shiny_models | Internal function to run shiny application on an object of... |
| shinymodels-package | shinymodels: Interactive Assessments of Models |
| two_class_final | Test set results for logistic regression |
