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test_feature Namespace Reference

Variables

 file = Path(__file__).resolve()
 
 parent
 
 root
 
str dir_path = "../datasets/tables/megallen/amazon-google-structured"
 
str path_tableA = "/".join([dir_path, "table_a.csv"])
 
str path_tableB = "/".join([dir_path, "table_b.csv"])
 
str path_gold = "/".join([dir_path, "gold.csv"])
 
 gold_graph = nx.Graph()
 
 tableA = read_csv_table(path_tableA)
 
 tableB = read_csv_table(path_tableB)
 
 gold = read_csv_golds(path_gold, gold_graph)
 
list numeric_attr = ["price", "year"]
 
 schemas = list(tableA)[1:]
 

Variable Documentation

◆ dir_path

str test_feature.dir_path = "../datasets/tables/megallen/amazon-google-structured"

◆ file

test_feature.file = Path(__file__).resolve()

◆ gold

test_feature.gold = read_csv_golds(path_gold, gold_graph)

◆ gold_graph

test_feature.gold_graph = nx.Graph()

◆ numeric_attr

list test_feature.numeric_attr = ["price", "year"]

◆ parent

test_feature.parent

◆ path_gold

str test_feature.path_gold = "/".join([dir_path, "gold.csv"])

◆ path_tableA

str test_feature.path_tableA = "/".join([dir_path, "table_a.csv"])

◆ path_tableB

str test_feature.path_tableB = "/".join([dir_path, "table_b.csv"])

◆ root

test_feature.root

◆ schemas

list test_feature.schemas = list(tableA)[1:]

◆ tableA

test_feature.tableA = read_csv_table(path_tableA)

◆ tableB

test_feature.tableB = read_csv_table(path_tableB)