# 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
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from torchmetrics.functional.regression.concordance import concordance_corrcoef  # noqa: F401
from torchmetrics.functional.regression.cosine_similarity import cosine_similarity  # noqa: F401
from torchmetrics.functional.regression.explained_variance import explained_variance  # noqa: F401
from torchmetrics.functional.regression.kendall import kendall_rank_corrcoef  # noqa: F401
from torchmetrics.functional.regression.kl_divergence import kl_divergence  # noqa: F401
from torchmetrics.functional.regression.log_cosh import log_cosh_error  # noqa: F401
from torchmetrics.functional.regression.log_mse import mean_squared_log_error  # noqa: F401
from torchmetrics.functional.regression.mae import mean_absolute_error  # noqa: F401
from torchmetrics.functional.regression.mape import mean_absolute_percentage_error  # noqa: F401
from torchmetrics.functional.regression.mse import mean_squared_error  # noqa: F401
from torchmetrics.functional.regression.pearson import pearson_corrcoef  # noqa: F401
from torchmetrics.functional.regression.r2 import r2_score  # noqa: F401
from torchmetrics.functional.regression.spearman import spearman_corrcoef  # noqa: F401
from torchmetrics.functional.regression.tweedie_deviance import tweedie_deviance_score  # noqa: F401
from torchmetrics.functional.regression.wmape import weighted_mean_absolute_percentage_error  # noqa: F401