def _load_metadata_from_sample(hyperparameters: Dict[str, Any],
raw_sample: Dict[str, Any],
raw_metadata: Dict[str, Any]) -> None:
super(Path2Annotation, Path2Annotation)._load_metadata_from_sample(
hyperparameters, raw_sample, raw_metadata)
TypeClassificationModel._load_metadata_from_sample(
hyperparameters, raw_sample, raw_metadata)
def _load_metadata_from_sample(hyperparameters: Dict[str, Any],
raw_sample: Dict[str, Any],
raw_metadata: Dict[str, Any]) -> None:
super(Graph2HybridMetric,
Graph2HybridMetric)._load_metadata_from_sample(
hyperparameters, raw_sample, raw_metadata)
TypeClassificationModel._load_metadata_from_sample(
hyperparameters, raw_sample, raw_metadata)
def _load_metadata_from_sample(hyperparameters: Dict[str, Any],
raw_sample: Dict[str, Any],
raw_metadata: Dict[str, Any]) -> None:
super(Sequence2HybridMetric,
Sequence2HybridMetric)._load_metadata_from_sample(
hyperparameters, raw_sample, raw_metadata)
TokenEmbedder.load_metadata_from_sample('token', [
raw_sample['nodes'][i] for i in raw_sample['token-sequence']
if i < len(raw_sample['nodes'])
], raw_metadata, hyperparameters)
TypeClassificationModel._load_metadata_from_sample(
hyperparameters, raw_sample, raw_metadata)