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TimeSeriesImputer to error if dataset has grains with different frequencies #4441

daholste opened this issue Nov 5, 2019 · 0 comments


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@daholste daholste commented Nov 5, 2019

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:
“More than one series is in the input data, and their frequencies differ. Please separate series by frequency and build separate models. If frequencies were incorrectly inferred, please fill in gaps in series.”

Also, in TimeSeriesImputer today, if grains grains have frequencies that are relatively prime, this appears to lead to odd behavior

@gvashishtha gvashishtha self-assigned this Nov 7, 2019
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