adult                   Adult for UCI repository
aggregate_by_key        Automatic data_set aggregation by key
as.POSIXct_fast         Faster date transformation
build_bins              Compute bins
build_date_factor       Date Factor
build_encoding          Compute encoding
build_scales            Compute scales
build_target_encoding   Build target encoding
compute_probability_ratio
                        Compute probability ratio
compute_weight_of_evidence
                        Compute weight of evidence
data_preparation_news   Show the NEWS file
date_format_unifier     Unify dates format
description             Describe data set
fast_discretization     Discretization
fast_filter_variables   Filtering useless variables
fast_handle_na          Handle NA values
fast_is_equal           Fast checks of equality
fast_round              Fast round
fast_scale              scale
find_and_transform_dates
                        Identify date columns
find_and_transform_numerics
                        Identify numeric columns in a data_set set
generate_date_diffs     Date difference
generate_factor_from_date
                        Generate factor from dates
generate_from_character
                        Recode character
generate_from_factor    Recode factor
get_most_frequent_element
                        Get most frequent element
identify_dates          Identify date columns
messy_adult             Adult with some ugly columns added
one_hot_encoder         One hot encoder
prepare_set             Preparation pipeline
remove_percentile_outlier
                        Percentile outlier filtering
remove_rare_categorical
                        Filter rare categories
remove_sd_outlier       Standard deviation outlier filtering
same_shape              Give same shape
set_as_numeric_matrix   Numeric matrix preparation for Machine
                        Learning.
set_col_as_character    Set columns as character
set_col_as_date         Set columns as POSIXct
set_col_as_factor       Set columns as factor
set_col_as_numeric      Set columns as numeric
shape_set               Final preparation before ML algorithm
target_encode           Target encode
tiny_messy_adult        First 500 rows of 'messy_adult'
un_factor               Unfactor factor with too many values
which_are_bijection     Identify bijections
which_are_constant      Identify constant columns
which_are_in_double     Identify double columns
which_are_included      Identify columns that are included in others
