# Copyright The PyTorch Lightning team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from torchmetrics.functional.classification.accuracy import (  # noqa: F401
    accuracy,
    binary_accuracy,
    multiclass_accuracy,
    multilabel_accuracy,
)
from torchmetrics.functional.classification.auroc import (  # noqa: F401
    auroc,
    binary_auroc,
    multiclass_auroc,
    multilabel_auroc,
)
from torchmetrics.functional.classification.average_precision import (  # noqa: F401
    average_precision,
    binary_average_precision,
    multiclass_average_precision,
    multilabel_average_precision,
)
from torchmetrics.functional.classification.calibration_error import (  # noqa: F401
    binary_calibration_error,
    calibration_error,
    multiclass_calibration_error,
)
from torchmetrics.functional.classification.cohen_kappa import (  # noqa: F401
    binary_cohen_kappa,
    cohen_kappa,
    multiclass_cohen_kappa,
)
from torchmetrics.functional.classification.confusion_matrix import (  # noqa: F401
    binary_confusion_matrix,
    confusion_matrix,
    multiclass_confusion_matrix,
    multilabel_confusion_matrix,
)
from torchmetrics.functional.classification.dice import dice  # noqa: F401
from torchmetrics.functional.classification.exact_match import (  # noqa: F401
    exact_match,
    multiclass_exact_match,
    multilabel_exact_match,
)
from torchmetrics.functional.classification.f_beta import (  # noqa: F401
    binary_f1_score,
    binary_fbeta_score,
    f1_score,
    fbeta_score,
    multiclass_f1_score,
    multiclass_fbeta_score,
    multilabel_f1_score,
    multilabel_fbeta_score,
)
from torchmetrics.functional.classification.hamming import (  # noqa: F401
    binary_hamming_distance,
    hamming_distance,
    multiclass_hamming_distance,
    multilabel_hamming_distance,
)
from torchmetrics.functional.classification.hinge import (  # noqa: F401
    binary_hinge_loss,
    hinge_loss,
    multiclass_hinge_loss,
)
from torchmetrics.functional.classification.jaccard import (  # noqa: F401
    binary_jaccard_index,
    jaccard_index,
    multiclass_jaccard_index,
    multilabel_jaccard_index,
)
from torchmetrics.functional.classification.matthews_corrcoef import (  # noqa: F401
    binary_matthews_corrcoef,
    matthews_corrcoef,
    multiclass_matthews_corrcoef,
    multilabel_matthews_corrcoef,
)
from torchmetrics.functional.classification.precision_recall import (  # noqa: F401
    binary_precision,
    binary_recall,
    multiclass_precision,
    multiclass_recall,
    multilabel_precision,
    multilabel_recall,
    precision,
    recall,
)
from torchmetrics.functional.classification.precision_recall_curve import (  # noqa: F401
    binary_precision_recall_curve,
    multiclass_precision_recall_curve,
    multilabel_precision_recall_curve,
    precision_recall_curve,
)
from torchmetrics.functional.classification.ranking import (  # noqa: F401
    multilabel_coverage_error,
    multilabel_ranking_average_precision,
    multilabel_ranking_loss,
)
from torchmetrics.functional.classification.recall_at_fixed_precision import (  # noqa: F401
    binary_recall_at_fixed_precision,
    multiclass_recall_at_fixed_precision,
    multilabel_recall_at_fixed_precision,
)
from torchmetrics.functional.classification.roc import binary_roc, multiclass_roc, multilabel_roc, roc  # noqa: F401
from torchmetrics.functional.classification.specificity import (  # noqa: F401
    binary_specificity,
    multiclass_specificity,
    multilabel_specificity,
    specificity,
)
from torchmetrics.functional.classification.stat_scores import (  # noqa: F401
    binary_stat_scores,
    multiclass_stat_scores,
    multilabel_stat_scores,
    stat_scores,
)