Register Pre-Computed Term Frequency Tables

Allows you to supply pre-computed term frequency lookup tables instead of having them computed automatically from the data. This is useful when you have production TF tables from a larger dataset or want to reuse TF values across multiple linkage runs.

Usage

il_register_tf(model, col, tf_data, overwrite = FALSE)

Arguments

model

An il_model object.

col

Character name of the comparison column.

tf_data

A data frame with columns <col> and tf_<col>.

overwrite

Logical. If TRUE, overwrite an existing TF table for this column. Defaults to FALSE.

Value

The updated model, with the TF table registered in the database.

Details

The supplied data must have exactly two columns: the value column (named the same as the comparison column) and the frequency column (named tf_<col>).

Examples

con <- DBI::dbConnect(duckdb::duckdb())
spec <- il_spec() |>
  il_compare(first_name, cl_exact()) |>
  il_block_on(surname)
model <- il_model(fake_20, spec = spec, con = con)
tf <- data.frame(
  first_name = c('John', 'Jane', 'Bob', 'Alice', 'Tom'),
  tf_first_name = rep(0.2, 5)
)
model <- il_register_tf(model, 'first_name', tf)
il_cleanup(model)
DBI::dbDisconnect(con, shutdown = TRUE)