Man pages for ELToulemonde/dataPreparation
Automated Data Preparation
| 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_included | Identify columns that are included in others |
| which_are_in_double | Identify double columns |
