Man pages for creditmodel
Toolkit for Credit Modeling, Analysis and Visualization
| address_varieble | address_varieble |
| add_variable_process | add_variable_process |
| analysis_nas | missing Analysis |
| analysis_outliers | Outliers Analysis |
| as_percent | Percent Format |
| auc_value | auc_value 'auc_value' is for get best lambda required in... |
| char_cor_vars | Cramer's V matrix between categorical variables. |
| char_to_num | character to number |
| checking_data | Checking Data |
| city_varieble | city_varieble |
| city_varieble_process | Processing of Address Variables |
| cohort_table_plot | cohort_table_plot 'cohort_table_plot' is for ploting... |
| cor_heat_plot | Correlation Heat Plot |
| cor_plot | Correlation Plot |
| cos_sim | cos_sim |
| creditmodel-package | creditmodel: toolkit for credit modeling and data analysis |
| customer_segmentation | Customer Segmentation |
| cut_equal | Generating Initial Equal Size Sample Bins |
| cv_split | Stratified Folds |
| data_cleansing | Data Cleaning |
| data_exploration | Data Exploration |
| date_cut | Date Time Cut Point |
| de_one_hot_encoding | Recovery One-Hot Encoding |
| de_percent | Recovery Percent Format |
| derived_interval | derived_interval |
| derived_partial_acf | derived_partial_acf |
| derived_pct | derived_pct |
| derived_ts_vars | Derivation of Behavioral Variables |
| digits_num | Number of digits |
| entropy_weight | Entropy Weight Method |
| entry_rate_na | Max Percent of missing Value |
| euclid_dist | euclid_dist |
| eval_auc | Functions of xgboost feval |
| ewm_data | Entropy Weight Method Data |
| fast_high_cor_filter | high_cor_filter |
| feature_selector | Feature Selection Wrapper |
| fuzzy_cluster_means | Fuzzy Cluster means. |
| gather_data | gather or aggregate data |
| gbm_filter | Select Features using GBM |
| gbm_params | GBM Parameters |
| get_auc_ks_lambda | get_auc_ks_lambda 'get_auc_ks_lambda' is for get best lambda... |
| get_bins_table_all | Table of Binning |
| get_breaks_all | Generates Best Breaks for Binning |
| get_correlation_group | get_correlation_group |
| get_iv_all | Calculate Information Value (IV) 'get_iv' is used to... |
| get_logistic_coef | get logistic coef |
| get_median | get central value. |
| get_names | Get Variable Names |
| get_nas_random | get_nas_random |
| get_psi_all | Calculate Population Stability Index (PSI) 'get_psi' is used... |
| get_psi_iv_all | Calculate IV & PSI |
| get_psi_plots | Plot PSI(Population Stability Index) |
| get_score_card | Score Card |
| get_shadow_nas | get_shadow_nas |
| get_sim_sign_lambda | get_sim_sign_lambda 'get_sim_sign_lambda' is for get Best... |
| get_tree_breaks | Getting the breaks for terminal nodes from decision tree |
| get_x_list | Get X List. |
| grapes-alike-grapes | Fuzzy String matching |
| grapes-islike-grapes | Fuzzy String matching |
| high_cor_selector | Compare the two highly correlated variables |
| is_date | is_date |
| knn_nas_imp | Imputate nas using KNN |
| ks_table | ks_table & plot |
| ks_value | ks_value |
| lasso_filter | Variable selection by LASSO |
| lendingclub | Lending Club data |
| lift_value | lift_value |
| local_outlier_factor | local_outlier_factor 'local_outlier_factor' is function for... |
| log_trans | Logarithmic transformation |
| loop_function | Loop Function. #' 'loop_function' is an iterator to loop... |
| love_color | love_color |
| low_variance_filter | Filtering Low Variance Variables |
| lr_params | Logistic Regression & Scorecard Parameters |
| lr_vif | Variance-Inflation Factors |
| max_min_norm | Max Min Normalization |
| merge_category | Merge Category |
| min_max_norm | Min Max Normalization |
| model_result_plot | model result plots 'model_result_plot' is a wrapper of... |
| multi_grid | Arrange list of plots into a grid |
| multi_left_join | multi_left_join |
| n_char | The length of a string. |
| null_blank_na | Encode NAs |
| one_hot_encoding | One-Hot Encoding |
| outliers_detection | Outliers Detection 'outliers_detection' is for outliers... |
| partial_dependence_plot | partial_dependence_plot |
| PCA_reduce | PCA Dimension Reduction |
| p_ij | Entropy |
| plot_colors | Plot Colors |
| plot_oot_perf | plot_oot_perf 'plot_oot_perf' is for ploting performance of... |
| plot_table | plot_table |
| plot_theme | plot_theme |
| pred_score | pred_score |
| process_nas | missing Treatment |
| process_outliers | Outliers Treatment |
| psi_iv_filter | Variable reduction based on Information Value & Population... |
| p_to_score | prob to socre |
| quick_as_df | List as data.frame quickly |
| ranking_percent_proc | Ranking Percent Process |
| read_data | Read data |
| re_code | re_code 're_code' search for matches to argument pattern... |
| reduce_high_cor_filter | Filtering highly correlated variables with reduce method |
| remove_duplicated | Remove Duplicated Observations |
| re_name | Rename |
| replace_value | Replace Value |
| require_packages | Packages required and intallment |
| rf_params | Random Forest Parameters |
| rowAny | Functions for vector operation. |
| save_data | Save data |
| score_transfer | Score Transformation |
| select_best_class | Generates Best Binning Breaks |
| sim_str | sim_str |
| split_bins | split_bins |
| split_bins_all | Split bins all |
| sql_hive_text_parse | Automatic production of hive SQL |
| start_parallel_computing | Parallel computing and export variables to global Env. |
| stop_parallel_computing | Stop parallel computing |
| str_match | string match #' 'str_match' search for matches to argument... |
| sum_table | Summary table |
| term_tfidf | TF-IDF |
| time_series_proc | Process time series data |
| time_transfer | Time Format Transfering |
| time_variable | time_variable |
| time_vars_process | Processing of Time or Date Variables |
| tnr_value | tnr_value |
| training_model | Training model |
| train_lr | Trainig LR model |
| train_test_split | Train-Test-Split |
| train_xgb | Training XGboost |
| UCICreditCard | UCI Credit Card data |
| var_group_proc | Process group numeric variables |
| variable_process | variable_process |
| woe_trans_all | WOE Transformation |
| xgb_data | XGboost data |
| xgb_filter | Select Features using XGB |
| xgb_params | XGboost Parameters |
