test_block_all.py File Reference

Namespaces
namespace	test_block_all

Variables
	test_block_all.file = Path(__file__).resolve()
	test_block_all.parent
	test_block_all.root
str	test_block_all.dir_path = "../datasets/tables/megallen/amazon-google-structured"
str	test_block_all.path_tableA = "/".join([dir_path, "table_a.csv"])
str	test_block_all.path_tableB = "/".join([dir_path, "table_b.csv"])
str	test_block_all.path_gold = "/".join([dir_path, "gold.csv"])
str	test_block_all.path_rule = "test/tmp/rules_amazon_google_structured1.txt"
str	test_block_all.path_range = "test/tmp/ranges_amazon_google_structured.txt"
str	test_block_all.path_tree = "test/tmp/trees_amazon_google_structured.txt"
str	test_block_all.path_rf = "test/tmp/rf_amazon_google_structured.joblib"
	test_block_all.gold_graph = nx.Graph()
	test_block_all.tableA = read_csv_table(path_tableA)
	test_block_all.tableB = read_csv_table(path_tableB)
	test_block_all.gold = read_csv_golds(path_gold, gold_graph)
	test_block_all.attr_types_ltable = au.get_attr_types(tableA)
	test_block_all.attr_types_rtable = au.get_attr_types(tableB)
	test_block_all.sample_strategy
	test_block_all.blocking_attr
	test_block_all.cluster_tau
	test_block_all.sample_tau
	test_block_all.step2_tau
	test_block_all.num_data
	test_block_all.random_forest
	test_block_all.trigraph
	test_block_all.model_path
	test_block_all.tree_path
	test_block_all.range_path
	test_block_all.num_tree
	test_block_all.sample_size
	test_block_all.ground_truth_label
	test_block_all.True
	test_block_all.training_strategy
	test_block_all.inmemory
	test_block_all.at_ltable
	test_block_all.at_rtable
	test_block_all.rule_path
	test_block_all.move_strategy
	test_block_all.additional_rule_path
	test_block_all.None
	test_block_all.optimal_rule_path
	test_block_all.blocking_attr_type
	test_block_all.blocking_top_k
	test_block_all.table_size
	test_block_all.is_join_topk
	test_block_all.is_idf_weighted