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Update Space (evaluate main: c447fc8e)
Browse files- recall.py +11 -26
- requirements.txt +1 -1
recall.py
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@@ -13,9 +13,6 @@
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# limitations under the License.
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"""Recall metric."""
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from dataclasses import dataclass
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from typing import List, Optional, Union
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import datasets
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from sklearn.metrics import recall_score
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@@ -95,30 +92,13 @@ _CITATION = """
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"""
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@dataclass
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class RecallConfig(evaluate.info.Config):
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name: str = "default"
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pos_label: Union[str, int] = 1
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average: str = "binary"
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labels: Optional[List[str]] = None
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sample_weight: Optional[List[float]] = None
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zero_division: str = "warn"
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@evaluate.utils.file_utils.add_start_docstrings(_DESCRIPTION, _KWARGS_DESCRIPTION)
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class Recall(evaluate.Metric):
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CONFIG_CLASS = RecallConfig
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ALLOWED_CONFIG_NAMES = ["default", "multilabel"]
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def _info(self, config):
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return evaluate.MetricInfo(
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description=_DESCRIPTION,
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citation=_CITATION,
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inputs_description=_KWARGS_DESCRIPTION,
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config=config,
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features=datasets.Features(
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{
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"predictions": datasets.Sequence(datasets.Value("int32")),
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self,
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predictions,
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references,
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):
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score = recall_score(
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references,
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predictions,
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labels=
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pos_label=
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average=
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sample_weight=
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zero_division=
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)
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return {"recall": float(score) if score.size == 1 else score}
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# limitations under the License.
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"""Recall metric."""
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import datasets
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from sklearn.metrics import recall_score
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"""
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@evaluate.utils.file_utils.add_start_docstrings(_DESCRIPTION, _KWARGS_DESCRIPTION)
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class Recall(evaluate.Metric):
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def _info(self):
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return evaluate.MetricInfo(
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description=_DESCRIPTION,
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citation=_CITATION,
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inputs_description=_KWARGS_DESCRIPTION,
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features=datasets.Features(
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{
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"predictions": datasets.Sequence(datasets.Value("int32")),
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self,
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predictions,
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references,
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labels=None,
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pos_label=1,
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average="binary",
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sample_weight=None,
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zero_division="warn",
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):
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score = recall_score(
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references,
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predictions,
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labels=labels,
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pos_label=pos_label,
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average=average,
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sample_weight=sample_weight,
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zero_division=zero_division,
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)
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return {"recall": float(score) if score.size == 1 else score}
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requirements.txt
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git+https://github.com/huggingface/evaluate@
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sklearn
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git+https://github.com/huggingface/evaluate@c447fc8eda9c62af501bfdc6988919571050d950
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sklearn
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