skdh.features.ComplexityInvariantDistance#
- class skdh.features.ComplexityInvariantDistance(normalize=True)#
A distance metric that accounts for signal complexity.
- Parameters:
- normalizebool, optional
Normalize the signal. Default is True.
- Attributes:
- normalize
Methods
compute(signal, *[, axis])Compute the complexity invariant distance
- compute(signal, *, axis=-1)#
Compute the complexity invariant distance
- Parameters:
- signalarray-like
Array-like containing values to compute the complexity invariant distance for.
- axisint, optional
Axis along which the signal entropy will be computed. Ignored if signal is a pandas.DataFrame. Default is last (-1).
- Returns:
- cidnumpy.ndarray
Computed complexity invariant distance.