Man pages for scorecardModelUtils
Credit Scorecard Modelling Utils
| categorical_iv | IV table for individual categorical variable |
| cat_new_class | Clubbing class of categorical variables with low population... |
| club_cat_class | Clubbing class of a categorical variable with low population... |
| cv_filter | Variable reduction based on Cramer's V filter |
| cv_table | Pairwise Cramer's V among a list of categorical variables |
| cv_test | Cramer's V value between two categorical variables |
| dtree_split_val | Getting the split value for terminal nodes from decision tree |
| dtree_trend_iv | Recursive Decision Tree partitioning with monotonic event... |
| fn_conf_mat | Creates confusion matrix and its related measures |
| fn_cross_index | Creates random index for k-fold cross validation |
| fn_error | Computes error measures between observed and predicted values |
| fn_mode | Calculating mode value of a vector |
| fn_target | Redefines target value |
| gini_table | Performance measure table with Gini coefficient,... |
| gradient_boosting_parameters | Hyperparameter optimisation or parameter tuning for Gradient... |
| iv_filter | Variable reduction based on Information Value filter |
| iv_table | WOE and IV table for list of numerical and categorical... |
| missing_val | Missing value imputation |
| num_to_cat | Binning numerical variables based on cuts from IV table |
| others_class | Clubbing of classes of categorical variable with low... |
| random_forest_parameters | Hyperparameter optimisation or parameter tuning for Random... |
| sampling | Random sampling of data into train and test |
| scalling | Converting coefficients of logistic regression into scores... |
| scoring | Scoring a dataset with class based on a scalling logic to... |
| support_vector_parameters | Hyperparameter optimisation or parameter tuning for Suppert... |
| univariate | Univariate analysis of variables |
| vif_filter | Removing multicollinearity from a model using vif test |
