__init__(self) | simjoin_entitymatching.matcher.random_forest.RandomForest | |
_apply_model_worker(self, tableid, tableA, tableB, external_fea_extract=False, if_report_pre=False, default_blk_res_dir="", default_match_res_dir="") | simjoin_entitymatching.matcher.random_forest.RandomForest | protected |
_entropy(self, p1, p2) | simjoin_entitymatching.matcher.random_forest.RandomForest | protected |
_set_metadata(self, dataframe, key, fk_ltable, fk_rtable, ltable, rtable) | simjoin_entitymatching.matcher.random_forest.RandomForest | protected |
add_attrs_blk_res(self, tableA, tableB, path) | simjoin_entitymatching.matcher.random_forest.RandomForest | |
apply_model(self, tottable, tableA, tableB, external_fea_extract=False, default_blk_res_dir="", default_match_res_dir="") | simjoin_entitymatching.matcher.random_forest.RandomForest | |
cand | simjoin_entitymatching.matcher.random_forest.RandomForest | |
cand_backup | simjoin_entitymatching.matcher.random_forest.RandomForest | |
cand_stat(self, C) | simjoin_entitymatching.matcher.random_forest.RandomForest | |
features | simjoin_entitymatching.matcher.random_forest.RandomForest | |
fix_null(self, tableA, tableB) | simjoin_entitymatching.matcher.random_forest.RandomForest | |
generate_features(self, tableA, tableB, at_ltable=None, at_rtable=None, dataname=None, default_output_dir="", wrtie_fea_names=True) | simjoin_entitymatching.matcher.random_forest.RandomForest | |
get_recall(self, candidates, num_golds, external_report=False, default_res_dir="") | simjoin_entitymatching.matcher.random_forest.RandomForest | |
get_recall_check(self, candidates, num_golds, check_file_path, check=0) | simjoin_entitymatching.matcher.random_forest.RandomForest | |
graph | simjoin_entitymatching.matcher.random_forest.RandomForest | |
label_cand(self, C) | simjoin_entitymatching.matcher.random_forest.RandomForest | |
load_model(self, path) | simjoin_entitymatching.matcher.random_forest.RandomForest | |
num_total | simjoin_entitymatching.matcher.random_forest.RandomForest | |
num_total | simjoin_entitymatching.matcher.random_forest.RandomForest | |
num_training | simjoin_entitymatching.matcher.random_forest.RandomForest | |
over_sample(self, C) | simjoin_entitymatching.matcher.random_forest.RandomForest | |
report_tree_to_text(self, path) | simjoin_entitymatching.matcher.random_forest.RandomForest | |
rf | simjoin_entitymatching.matcher.random_forest.RandomForest | |
rf | simjoin_entitymatching.matcher.random_forest.RandomForest | |
rf | simjoin_entitymatching.matcher.random_forest.RandomForest | |
sample_data(self, tableA, tableB, default_sample_res_dir="") | simjoin_entitymatching.matcher.random_forest.RandomForest | |
sparkrf | simjoin_entitymatching.matcher.random_forest.RandomForest | |
store_model(self, path) | simjoin_entitymatching.matcher.random_forest.RandomForest | |
test_table | simjoin_entitymatching.matcher.random_forest.RandomForest | |
train_model_active(self, tableA, tableB, num_tree, sample_size, if_balanced=True) | simjoin_entitymatching.matcher.random_forest.RandomForest | |
train_model_normal(self, tableA, tableB, num_tree, sample_size, if_balanced=True) | simjoin_entitymatching.matcher.random_forest.RandomForest | |
train_model_tuning(self, tableA, tableB, num_tree, sample_size, if_balanced=True) | simjoin_entitymatching.matcher.random_forest.RandomForest | |