deepextractor.utils.metrics¶

Module Contents¶

deepextractor.utils.metrics.calculate_mse(target, output)[source]¶: Mean Squared Error between target and output arrays.

deepextractor.utils.metrics.calculate_rmse(target, output)[source]¶: Root Mean Squared Error between target and output arrays.

deepextractor.utils.metrics.calculate_mae(target, output)[source]¶: Mean Absolute Error between target and output arrays.

deepextractor.utils.metrics.calculate_snr(target, output)[source]¶: Signal-to-Noise Ratio (dB) of the reconstruction.

deepextractor.utils.metrics.calculate_psnr(target, output, max_value=1.0)[source]¶: Peak Signal-to-Noise Ratio (dB).

deepextractor.utils.metrics.calculate_r2(target, output)[source]¶: Coefficient of determination (R²).

deepextractor.utils.metrics.calculate_mape(target, output)[source]¶

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

Parameters:

target (numpy.ndarray) – The target values.
output (numpy.ndarray) – The predicted values.

Returns:

MAPE value as a percentage.

Return type: