Regression
==========

.. automodule:: pytorch_metrics.regression

.. autoclass:: pytorch_metrics.base.RegressionMetric

----------------
CosineSimilarity
----------------

.. autoclass:: pytorch_metrics.CosineSimilarity

-----------------
ExplainedVariance
-----------------

.. autoclass:: pytorch_metrics.ExplainedVariance

--------
MaxError
--------

.. autoclass:: pytorch_metrics.MaxError

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MeanAbsoluteError
-----------------

.. autoclass:: pytorch_metrics.MeanAbsoluteError

-----------------
MeanGammaDeviance
-----------------

.. autoclass:: pytorch_metrics.MeanGammaDeviance

-------------------
MeanPoissonDeviance
-------------------

.. autoclass:: pytorch_metrics.MeanPoissonDeviance

----------------
MeanSquaredError
----------------

.. autoclass:: pytorch_metrics.MeanSquaredError

---------------------------
MeanSquaredLogarithmicError
---------------------------

.. autoclass:: pytorch_metrics.MeanSquaredLogarithmicError

-------------------
MeanTweedieDeviance
-------------------

.. autoclass:: pytorch_metrics.MeanTweedieDeviance

-------
R2Score
-------

.. autoclass:: pytorch_metrics.R2Score

--------------------
RootMeanSquaredError
--------------------

.. autoclass:: pytorch_metrics.RootMeanSquaredError