def convert(self, input_file_path, output_file_path):
self.add_ont_defs()
with open(input_file_path) as f:
for line in f:
res = self._get_next_res()
parts = line.strip().split(',')
if len(parts) == 1:
continue
# 1. sepal length in cm
l0 = Literal(parts[0], None, xsd_double)
self._g.add((res, self._p0, l0))
# 2. sepal width in cm
l1 = Literal(parts[1], None, xsd_double)
self._g.add((res, self._p1, l1))
# 3. petal length in cm
l2 = Literal(parts[2], None, xsd_double)
self._g.add((res, self._p2, l2))
# 4. petal width in cm
l3 = Literal(parts[3], None, xsd_double)
self._g.add((res, self._p3, l3))
# 5. class
self._g.add((res, a, self._clsid2cls[parts[4]]))
write_graph(self._g, output_file_path)
def convert(self, input_file_path, output_file_path):
self.add_ont_axioms()
with open(input_file_path) as f:
for line in f:
parts = line.strip().split(',')
if len(parts) == 1:
continue
# 1. Id number: 1 to 214
r_id = int(parts[0])
res = self._res(r_id)
# 2. RI: refractive index
l1 = Literal(parts[1], None, xsd_double)
self._g.add((res, self._p1, l1))
# 3. Na: Sodium (unit measurement: weight percent in
# corresponding oxide, as are attributes 4-10)
l2 = Literal(parts[2], None, xsd_double)
self._g.add((res, self._p2, l2))
# 4. Mg: Magnesium
l3 = Literal(parts[3], None, xsd_double)
self._g.add((res, self._p3, l3))
# 5. Al: Aluminum
l4 = Literal(parts[4], None, xsd_double)
self._g.add((res, self._p4, l4))
# 6. Si: Silicon
l5 = Literal(parts[5], None, xsd_double)
self._g.add((res, self._p5, l5))
# 7. K: Potassium
l6 = Literal(parts[6], None, xsd_double)
self._g.add((res, self._p6, l6))
# 8. Ca: Calcium
l7 = Literal(parts[7], None, xsd_double)
self._g.add((res, self._p7, l7))
# 9. Ba: Barium
l8 = Literal(parts[8], None, xsd_double)
self._g.add((res, self._p8, l8))
# 10. Fe: Iron
l9 = Literal(parts[9], None, xsd_double)
self._g.add((res, self._p9, l9))
# 11. Type of glass
cls = self._type2_cls[parts[10]]
self._g.add((res, a, cls))
write_graph(self._g, output_file_path)
def save_model(self):
# Save model checkpoint (Overwrite)
output_dir = os.path.join(self.args.model_dir)
if not os.path.exists(output_dir):
os.makedirs(output_dir)
write_edge_feature(self.edge_feature, self.args.edge_feature_file)
write_graph(self.graph, self.args.graph_file)
write_entity_feature(self.entity_feature,
self.args.entity_feature_file)
model_to_save = self.model.module if hasattr(self.model,
'module') else self.model
model_to_save.save_pretrained(output_dir)
torch.save(self.args, os.path.join(output_dir, 'training_config.bin'))
logger.info("Saving model checkpoint to %s", output_dir)
def write_results_to_file(self, out_file_path):
write_graph(self._g, out_file_path)
def convert(self, input_file_path, output_file_path):
self._add_ont_defs()
with open(input_file_path) as f:
for line in f:
res = self._next_resource()
parts = line.strip().split(',')
if len(parts) == 1:
continue
# 0) Type
self._g.add((res, a, self._id2cls[parts[0]]))
# 1) Alcohol
l1 = Literal(parts[1], None, xsd_double)
self._g.add((res, self._p1, l1))
# 2) Malic acid
l2 = Literal(parts[2], None, xsd_double)
self._g.add((res, self._p2, l2))
# 3) Ash
l3 = Literal(parts[3], None, xsd_double)
self._g.add((res, self._p3, l3))
# 4) Alcalinity of ash
l4 = Literal(parts[4], None, xsd_double)
self._g.add((res, self._p4, l4))
# 5) Magnesium
l5 = Literal(parts[5], None, xsd_int)
self._g.add((res, self._p5, l5))
# 6) Total phenols
l6 = Literal(parts[6], None, xsd_double)
self._g.add((res, self._p6, l6))
# 7) Flavanoids
l7 = Literal(parts[7], None, xsd_double)
self._g.add((res, self._p7, l7))
# 8) Nonflavanoid phenols
l8 = Literal(parts[8], None, xsd_double)
self._g.add((res, self._p8, l8))
# 9) Proanthocyanins
l9 = Literal(parts[9], None, xsd_double)
self._g.add((res, self._p9, l9))
# 10)Color intensity
l10 = Literal(parts[10], None, xsd_double)
self._g.add((res, self._p10, l10))
# 11)Hue
l11 = Literal(parts[11], None, xsd_double)
self._g.add((res, self._p11, l11))
# 12)OD280/OD315 of diluted wines
l12 = Literal(parts[12], None, xsd_double)
self._g.add((res, self._p12, l12))
# 13)Proline
l13 = Literal(parts[13], None, xsd_int)
self._g.add((res, self._p13, l13))
write_graph(self._g, output_file_path)
