Apply time-sliced ABC model for validation — abc

This function implements a time-sliced ABC model for validation. It uses historical data to predict connections that will appear in the future.

Usage

abc_timeslice(
  entity_data,
  time_column = "publication_year",
  split_time,
  a_term,
  a_type = NULL,
  c_type = NULL,
  min_score = 0.1,
  n_results = 100
)

Arguments

entity_data: A data frame of entity data with time information.
time_column: Name of the column containing time information.
split_time: Time point to split historical and future data.
a_term: Character string, the source term (A).
a_type: Character string, the entity type for A terms.
c_type: Character string, the entity type for C terms.
min_score: Minimum score threshold for results.
n_results: Maximum number of results to return.

Value

A list with prediction results and validation metrics.

Examples

if (FALSE) { # \dontrun{
validation <- abc_timeslice(entity_data,
                            time_column = "publication_year",
                            split_time = 2010,
                            a_term = "migraine")
} # }