Estimate Match (m) Parameters from a Label Column — il_estimate_m_from

Learns the m probabilities from a ground-truth identifier column (e.g., Social Security Number) present in the input data. Records sharing the same label value are treated as true matches. This is an alternative to il_estimate_m_from_labels(), which requires a separate table of pairwise labels.

Usage

il_estimate_m_from_column(model, label_col)

Arguments

model: An il_model object (piped in).
label_col: The unquoted name of a column in the input data containing ground-truth entity identifiers.

Value

An updated il_model with estimated m parameters.

Examples

con <- DBI::dbConnect(duckdb::duckdb())
#> duckdb keeps downloaded extensions and secrets in a temporary directory:
#> ℹ /tmp/Rtmpye6umx/duckdb
#> This is removed when the R session ends.
#> • Extensions are re-downloaded each session.
#> • Secrets are lost.
#> ℹ Run duckdb(shared_home = TRUE) (or create ~/.duckdb) to keep them (suitable for most users).
#> ℹ Run duckdb(shared_home = FALSE) to accept the temporary directory (and silence this message).
#> ℹ See ?duckdb_storage for details and alternatives.
spec <- il_spec() |>
  il_compare(first_name, cl_jaro_winkler(0.9, 0.7)) |>
  il_compare(surname, cl_exact()) |>
  il_compare(dob, cl_exact()) |>
  il_block_on(surname)
model <- il_model(fake_20, spec = spec, con = con)
model <- il_estimate_u(model)

model <- il_estimate_m_from_column(model, city)
DBI::dbDisconnect(con, shutdown = TRUE)