Module transform

The Transform module is a vital component of this COMBAT package, providing essential functionalities for data transformation and preparation, with a particular focus on Weight of Evidence (WoE) encoding techniques. Equipped with two key functions, WoETransform and WoEDataPreparation, this module empowers users to preprocess and encode categorical variables effectively, enhancing the performance and interpretability of predictive models.

Functions within the Transform module:

1. WoETransform(x, y, mon_constraint, var_name, var_type ...) - facilitates the transformation of categorical variables using Weight of Evidence (WoE) encoding.

2. WoEDataPreparation(x_data, y_data, df_sign, metric, ...) - streamlines the data preparation process by applying WoE encoding to categorical and numerical variables and preparing the dataset for model training

The Transform module serves as a valuable resource for users seeking to preprocess and encode categorical variables effectively, particularly in the context of credit scoring, risk modeling, and other predictive modeling tasks. With its robust functionalities for WoE encoding and data preparation, this module facilitates the creation of informative and reliable predictive models, ultimately enhancing decision-making processes in various domains.