35 lines
1.3 KiB
Python
35 lines
1.3 KiB
Python
# Copyright The PyTorch Lightning team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from typing import List, Optional, Sequence, Tuple, Union
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import torch
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from torchmetrics.functional import precision_recall_curve as _precision_recall_curve
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from pytorch_lightning.metrics.utils import deprecated_metrics
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@deprecated_metrics(target=_precision_recall_curve)
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def precision_recall_curve(
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preds: torch.Tensor,
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target: torch.Tensor,
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num_classes: Optional[int] = None,
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pos_label: Optional[int] = None,
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sample_weights: Optional[Sequence] = None,
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) -> Union[Tuple[torch.Tensor, torch.Tensor, torch.Tensor], Tuple[List[torch.Tensor], List[torch.Tensor],
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List[torch.Tensor]], ]:
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"""
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.. deprecated::
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Use :func:`torchmetrics.functional.accuracy`. Will be removed in v1.5.0.
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"""
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