Kolmogorov-Smirnov similarity score per numerical column

Usage

ks_similarity(real, synthetic, meta)

Arguments

real: A data frame of real data.
synthetic: A data frame of synthetic data.
meta: An rsdv_metadata object.

Value

A tibble with columns column (chr) and score (dbl, 0–1, higher = better).

Examples

# \donttest{
syn   <- gaussian_copula_synthesizer(metadata(adult_income)) |> fit(adult_income)
synth <- sample(syn, n = 500)
ks_similarity(adult_income, synth, metadata(adult_income))
#> # A tibble: 7 × 2
#>   column         score
#>   <chr>          <dbl>
#> 1 id             0.972
#> 2 age            0.944
#> 3 fnlwgt         0.954
#> 4 education_num  0.814
#> 5 capital_gain   0.49 
#> 6 capital_loss   0.462
#> 7 hours_per_week 0.77 
# }