add_constraint          Add a constraint to metadata
adult_income            Adult Income dataset (500-row sample)
attribute_disclosure_risk
                        Attribute disclosure risk
autoplot.rsdv_diagnostic_report
                        Plot a diagnostic report
autoplot.rsdv_privacy_report
                        Plot a privacy report
autoplot.rsdv_quality_report
                        Plot a quality report
check_constraint        Check a single constraint against each row of a
                        data frame
check_constraints       Check all constraints in metadata against a
                        data frame
contingency_similarity
                        Contingency similarity between real and
                        synthetic categorical column pairs
correlation_similarity
                        Correlation similarity between real and
                        synthetic numerical column pairs
custom_constraint       Constraint: arbitrary row-wise predicate
diagnostic_report       Generate a diagnostic (validity) report for
                        synthetic data
equality_constraint     Constraint: two columns must be equal row-wise
fixed_combinations_constraint
                        Constraint: only observed column combinations
                        are valid
gaussian_copula_synthesizer
                        Create a Gaussian Copula synthesizer
inequality_constraint   Constraint: col_a must be less than / greater
                        than col_b
is_fitted               Check whether a synthesizer has been fitted
ks_similarity           Kolmogorov-Smirnov similarity score per
                        numerical column
load_metadata           Load metadata from a JSON file
metadata                Create a metadata object describing a dataset's
                        column types
metadata_from_json      Deserialize metadata from a JSON string
metadata_to_json        Serialize metadata to a JSON string
ml_efficacy             ML efficacy: train-on-synthetic / test-on-real
                        accuracy ratio (TSTR)
nndr                    Nearest-Neighbor Distance Ratio privacy score
print.custom_constraint
                        Print method for a custom_constraint
print.equality_constraint
                        Print method for an equality_constraint
print.fixed_combinations_constraint
                        Print method for a
                        fixed_combinations_constraint
print.inequality_constraint
                        Print method for an inequality_constraint
print.rsdv_diagnostic_report
                        Print method for rsdv_diagnostic_report
print.rsdv_metadata     Print method for rsdv_metadata
print.rsdv_privacy_report
                        Print method for rsdv_privacy_report
print.rsdv_quality_report
                        Print method for rsdv_quality_report
privacy_report          Generate a privacy report comparing real and
                        synthetic data
quality_report          Generate a quality report comparing real and
                        synthetic data
sample                  Sample synthetic rows from a fitted synthesizer
sample_conditions       Sample synthetic rows that match fixed column
                        values (conditional sampling)
save_metadata           Save metadata to a JSON file
set_column_type         Set the type of a column in metadata
set_primary_key         Set the primary key column of the metadata
tvd_similarity          Total variation distance similarity score per
                        categorical column
validate_data           Validate that a data frame is compatible with
                        metadata
