glucopy.metrics.mse#

glucopy.metrics.mse(df: DataFrame, scale='default', dimension=3, tolerance='sd', method='MSEn', show=False, **kwargs)[source]#

Calculates the Multiscale Sample Entropy using neurokit2.entropy_multiscale()

For more information on the parameters and details see neurokit2.complexity.entropy_multiscale().

Parameters:

per_day (bool, default False) – If True, returns a pandas.Series with the Multiscale Sample Entropy for each day. If False, returns the Multiscale Sample Entropy for the entire dataset.
others – For more information on the rest of the parameters see neurokit2.complexity.entropy_multiscale().

Returns:

mse – Multiscale Sample Entropy.

Return type:

float

Notes

This function is meant to be used by glucopy.Gframe.mse()