Man pages for signaux-faibles/MLsegmentr
Model evaluation on data segments
| add_id | Adds column .id eqal to column row. |
| assert_predictions | Assert predictions frame |
| assert_segments | Assert segment frame |
| assert_target | Assert target frame |
| Assesser | Assesser Object |
| assess_eval_frame | Assess a model with given eval_function |
| aux_compute_prcurve | Compute Precision-Recall curves, and AUCPR |
| aux_plot_prcurve | Plot PR-curves |
| confusion_matrix_eval | Evaluates the confusion matrix |
| decorate_generic | Extract data and decorate it as expected for an Assesser... |
| eval_function | Functions to evaluate a model |
| eval_precision_recall | eval_function object to asses precision and recall |
| Fscore_from_prcurve | Get F-Score from PR-Curve |
| Fscore_from_prediction | Fscore_from_prediction |
| get_private | Get private members of R6 object |
| get_test_eval_frame | Get a test eval_frame |
| get_test_input_frame | Get a test input frame for the assesser |
| join_frames | Join frames by ids |
| main_diff_eval | Get examples with most differences between models |
| set_predictions | Decorate predictions extracted from a data.frame |
| set_segments | Creates a dataframe with .id and segment, from the name of a... |
| set_targets | Decorate targets extracted from a data.frame |
| wrap_cross_validation_summary | Wraps a summary function to work on several models |
| wrap_simple_eval | Wrap a simple eval function |
