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Use time steps (in dataframes) instead of numpy arrays. index argument that can pass a dataframe (inferred or explicitly specified which would override) or a numpy array with index (if missing, inferred).
Update:
Weights function
timecorr (format data, not hypertools) force to return timecrystal
helpers:
all weights functions (should take index instead of number of timepoints)
wcorr (takes weights matrix now, but make sure that the timepoints are processed in the correct order)
smooth function (really nonfunctional after... same with timepoint decoder... and predict)
The text was updated successfully, but these errors were encountered:
Use time steps (in dataframes) instead of numpy arrays. index argument that can pass a dataframe (inferred or explicitly specified which would override) or a numpy array with index (if missing, inferred).
Update:
Weights function
timecorr (format data, not hypertools) force to return timecrystal
helpers:
The text was updated successfully, but these errors were encountered: