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Check for missing data before fitting #11

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nhoening opened this issue Feb 11, 2019 · 1 comment
Open

Check for missing data before fitting #11

nhoening opened this issue Feb 11, 2019 · 1 comment
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feature data

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@nhoening
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Either give back useful info on what data was missing (e.g. due to the training_and_testing_window, due to the lags or due to external regressors), or attempt to fix it by decreasing the window, taking out out-of-bound lags or ignoring regressors.
@nhoening
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generic/model_a.py in our BVP codebase has code which could be used as basis for this (currently l.67ff)

My hint is that suggesting different time window boundaries is enough intervention.

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