Update Space (evaluate main: c447fc8e)
Browse files- matthews_correlation.py +3 -21
- requirements.txt +1 -1
matthews_correlation.py
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# limitations under the License.
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"""Matthews Correlation metric."""
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from dataclasses import dataclass
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from typing import List, Optional
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import datasets
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from sklearn.metrics import matthews_corrcoef
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"""
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@dataclass
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class MatthewsCorrelationConfig(evaluate.info.Config):
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name: str = "default"
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sample_weight: Optional[List] = None
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@evaluate.utils.file_utils.add_start_docstrings(_DESCRIPTION, _KWARGS_DESCRIPTION)
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class MatthewsCorrelation(evaluate.Metric):
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CONFIG_CLASS = MatthewsCorrelationConfig
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ALLOWED_CONFIG_NAMES = ["default"]
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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.Value("int32"),
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],
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)
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def _compute(self, predictions, references):
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return {
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"matthews_correlation": float(
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matthews_corrcoef(references, predictions, sample_weight=self.config.sample_weight)
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),
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}
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# limitations under the License.
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"""Matthews Correlation metric."""
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import datasets
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from sklearn.metrics import matthews_corrcoef
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"""
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@evaluate.utils.file_utils.add_start_docstrings(_DESCRIPTION, _KWARGS_DESCRIPTION)
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class MatthewsCorrelation(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.Value("int32"),
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],
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)
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def _compute(self, predictions, references, sample_weight=None):
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return {
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"matthews_correlation": float(matthews_corrcoef(references, predictions, sample_weight=sample_weight)),
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}
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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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