[ allennlp.training.metrics.attachment_scores ]
class AttachmentScores(Metric): | def __init__(self, ignore_classes: List[int] = None) -> None
Computes labeled and unlabeled attachment scores for a dependency parse, as well as sentence level exact match for both labeled and unlabeled trees. Note that the input to this metric is the sampled predictions, not the distribution itself.
- ignore_classes :
List[int], optional (default =
A list of label ids to ignore when computing metrics.
| def get_metric(self, reset: bool = False)
- The accumulated metrics as a dictionary.
| @overrides | def reset(self)