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This is a feature request for TimeSeriesImputer to raise an error if a dataset has grains with different frequencies.
For instance, another time series imputer (one used by Azure AutoML) raises the error:
Also, in TimeSeriesImputer today, if grains grains have frequencies that are relatively prime, this appears to lead to odd behavior