check

Pipeline.check(population_table, peripheral_tables=None)

Checks the validity of the data model.

Args:

population_table (getml.data.DataFrame):

Main table containing the target variable(s) and corresponding to the population Placeholder instance variable.

peripheral_tables (List[getml.data.DataFrame] or dict):

Additional tables corresponding to the peripheral Placeholder instance variable. They have to be provided in the exact same order as their corresponding placeholders!