65 lines
2.0 KiB
Python
65 lines
2.0 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 Any, Optional
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from torchmetrics import F1 as _F1
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from torchmetrics import FBeta as _FBeta
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from pytorch_lightning.metrics.utils import deprecated_metrics
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class FBeta(_FBeta):
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@deprecated_metrics(target=_FBeta)
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def __init__(
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self,
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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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compute_on_step: bool = True,
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dist_sync_on_step: bool = False,
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process_group: Optional[Any] = None,
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):
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"""
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This implementation refers to :class:`~torchmetrics.FBeta`.
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.. deprecated::
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Use :class:`~torchmetrics.FBeta`. Will be removed in v1.5.0.
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"""
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_ = num_classes, beta, threshold, average, multilabel, compute_on_step, dist_sync_on_step, process_group
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class F1(_F1):
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@deprecated_metrics(target=_F1)
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def __init__(
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self,
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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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compute_on_step: bool = True,
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dist_sync_on_step: bool = False,
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process_group: Optional[Any] = None,
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):
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"""
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This implementation refers to :class:`~torchmetrics.F1`.
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.. deprecated::
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Use :class:`~torchmetrics.F1`. Will be removed in v1.5.0.
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"""
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_ = num_classes, threshold, average, multilabel, compute_on_step, dist_sync_on_step, process_group
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