Man pages for snfagora/autotextclassifier
R Package for Automatically Classifying Texts Based on Tidymodels
| apply_basic_recipe | Apply basic recipe to the dataframe that includes a text... |
| build_pipeline | Build a pipeline from creating tuning parameters, search... |
| cal_class_fit | Evaluate a classification model output |
| create_cv_folds | Create 10-fold cross-validation samples |
| create_search_spaces | Create search spaces for the algorithms based on the... |
| create_tunes | Create tuning parameters for algorithms (i.e., lasso, random... |
| create_workflows | Create workflows for the algorithms based on the... |
| find_best_model | Find the best version of each algorithm based on the... |
| fit_best_model | Fit the best model from each algorithm to the data. |
| pipe | Pipe operator |
| split_using_srs | Creating training and testing data based on stratified random... |
| topn_vip | Visualize the importance of top 20 features |
| viz_class_fit | Visualize a classification model output |
