0ae9073fb7b144b8d5793f395f2e3240581eb999,src/bqlfn.py,,bql_row_similarity,#Any#Any#Any#Any#Any#,349

Before Change

        metamodel = core.bayesdb_generator_metamodel(bdb, generator_id)
        return metamodel.row_similarity(bdb, generator_id, None, rowid,
            target_rowid, colnos)
    return stats.arithmetic_mean(
        map(generator_similarity,
            core.bayesdb_population_generators(bdb, population_id)))

// Row function:  PREDICTIVE PROBABILITY OF <column>
def bql_row_column_predictive_probability(bdb, population_id, _modelno, rowid,
        colno):

After Change

        metamodel = core.bayesdb_generator_metamodel(bdb, generator_id)
        return metamodel.row_similarity(bdb, generator_id, None, rowid,
            target_rowid, colnos)
    generator_ids = [generator_id] if generator_id is not None else \
        core.bayesdb_population_generators(bdb, population_id)
    similarities = map(generator_similarity, generator_ids)
    return stats.arithmetic_mean(similarities)

// Row function:  PREDICTIVE PROBABILITY OF <column>
def bql_row_column_predictive_probability(bdb, population_id, generator_id,
        rowid, colno):

Instances