deepextractor.utils.metrics
===========================

.. py:module:: deepextractor.utils.metrics




Module Contents
---------------

.. py:function:: calculate_mse(target, output)

   Mean Squared Error between target and output arrays.


.. py:function:: calculate_rmse(target, output)

   Root Mean Squared Error between target and output arrays.


.. py:function:: calculate_mae(target, output)

   Mean Absolute Error between target and output arrays.


.. py:function:: calculate_snr(target, output)

   Signal-to-Noise Ratio (dB) of the reconstruction.


.. py:function:: calculate_psnr(target, output, max_value=1.0)

   Peak Signal-to-Noise Ratio (dB).


.. py:function:: calculate_r2(target, output)

   Coefficient of determination (R²).


.. py:function:: calculate_mape(target, output)

   Mean Absolute Percentage Error (MAPE), expressed as a percentage.

   :param target: The target values.
   :type target: numpy.ndarray
   :param output: The predicted values.
   :type output: numpy.ndarray

   :returns: MAPE value as a percentage.
   :rtype: float