%alike%                 Fuzzy String matching
%islike%                Fuzzy String matching
PCA_reduce              PCA Dimension Reduction
UCICreditCard           UCI Credit Card data
add_variable_process    add_variable_process
address_varieble        address_varieble
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 lasso_filter. This function
                        required in 'lasso_filter'
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 cohort(vintage) analysis table.
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 required in lasso_filter. This
                        function required in 'lasso_filter'
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 calculate Information Value (IV) of an
                        independent variable. 'get_iv_all' can loop
                        through IV for all specified independent
                        variables.
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 to calculate Population
                        Stability Index (PSI) of an independent
                        variable. 'get_psi_all' can loop through PSI
                        for all specified independent variables.
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 lambda required in lasso_filter.
                        This function required in 'lasso_filter'
get_tree_breaks         Getting the breaks for terminal nodes from
                        decision tree
get_x_list              Get X List.
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 calculating the lof factor for a
                        data set using knn This function is not
                        intended to be used by end user.
log_trans               Logarithmic transformation
loop_function           Loop Function. #' 'loop_function' is an
                        iterator to loop through
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 following: 'perf_table' is for
                        generating a model performance table. 'ks_plot'
                        is for K-S. 'roc_plot' is for ROC. 'lift_plot'
                        is for Lift Chart. 'score_distribution_plot' is
                        for ploting the score distribution.
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 detecting using Kmeans and Local
                        Outlier Factor (lof)
p_ij                    Entropy
p_to_score              prob to socre
partial_dependence_plot
                        partial_dependence_plot
plot_colors             Plot Colors
plot_oot_perf           plot_oot_perf 'plot_oot_perf' is for ploting
                        performance of cross time samples in the future
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 Stability Index filter
quick_as_df             List as data.frame quickly
ranking_percent_proc    Ranking Percent Process
re_code                 re_code 're_code' search for matches to
                        argument pattern within each element of a
                        character vector:
re_name                 Rename
read_data               Read data
reduce_high_cor_filter
                        Filtering highly correlated variables with
                        reduce method
remove_duplicated       Remove Duplicated Observations
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 pattern within each element of a
                        character vector:
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
train_lr                Trainig LR model
train_test_split        Train-Test-Split
train_xgb               Training XGboost
training_model          Training model
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
