dicee.knowledge_graph

Classes

`KG`	Knowledge Graph

Module Contents

class dicee.knowledge_graph.KG(dataset_dir: str = None, byte_pair_encoding: bool = False, padding: bool = False, add_noise_rate: float = None, sparql_endpoint: str = None, path_single_kg: str = None, path_for_deserialization: str = None, add_reciprocal: bool = None, eval_model: str = None, read_only_few: int = None, sample_triples_ratio: float = None, path_for_serialization: str = None, entity_to_idx=None, relation_to_idx=None, backend=None, training_technique: str = None, separator: str = None)[source]

Knowledge Graph

dataset_dir = None

sparql_endpoint = None

path_single_kg = None

byte_pair_encoding = False

ordered_shaped_bpe_tokens = None

add_noise_rate = None

num_entities = None

num_relations = None

path_for_deserialization = None

add_reciprocal = None

eval_model = None

read_only_few = None

sample_triples_ratio = None

path_for_serialization = None

entity_to_idx = None

relation_to_idx = None

backend = 'pandas'

training_technique = None

idx_entity_to_bpe_shaped

enc

num_tokens

num_bpe_entities = None

padding = False

dummy_id

max_length_subword_tokens = None

train_set_target = None

target_dim = None

train_target_indices = None

ordered_bpe_entities = None

separator = None

description_of_input = None

describe() → None[source]

property entities_str: List

property relations_str: List

exists(h: str, r: str, t: str)[source]

__iter__()[source]

__len__()[source]

func_triple_to_bpe_representation(triple: List[str])[source]