50 lines
1.5 KiB
Python
50 lines
1.5 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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import torch
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from torchmetrics.functional import f1 as _f1
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from torchmetrics.functional import fbeta as _fbeta
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from pytorch_lightning.utilities.deprecation import deprecated
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@deprecated(target=_fbeta, ver_deprecate="1.3.0", ver_remove="1.5.0")
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def fbeta(
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preds: torch.Tensor,
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target: torch.Tensor,
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num_classes: int,
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beta: float = 1.0,
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threshold: float = 0.5,
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average: str = "micro",
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multilabel: bool = False
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) -> 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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@deprecated(target=_f1, ver_deprecate="1.3.0", ver_remove="1.5.0")
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def f1(
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preds: torch.Tensor,
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target: torch.Tensor,
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num_classes: int,
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threshold: float = 0.5,
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average: str = "micro",
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multilabel: bool = False
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) -> torch.Tensor:
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"""
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.. deprecated::
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Use :func:`torchmetrics.functional.f1`. Will be removed in v1.5.0.
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"""
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