- split_ts(data, mmix, mask, comptable)
Splits data time series into accepted component time series and remainder
data ((S x T) array_like) – Input data, where S is samples and T is time
mmix ((T x C) array_like) – Mixing matrix for converting input data to component space, where C is components and T is the same as in data
mask ((S,) array_like) – Boolean mask array
comptable ((C x X)
pandas.DataFrame) – Component metric table. One row for each component, with a column for each metric. Requires at least two columns: “component” and “classification”.