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Avoid unnecessary failures #46

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antoinecarme opened this issue Apr 26, 2017 · 0 comments
Closed

Avoid unnecessary failures #46

antoinecarme opened this issue Apr 26, 2017 · 0 comments

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@antoinecarme
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Sometimes the signal is too small/easy to forecast. PyAF fails when the signal has only one row !!!

The goal here is to make pyaf as robust as possible against very small/bad datasets
PyAF should automatically produce reasonable/naive/trivial models in these cases.
It should not fail in any case (normal behavior expected, useful for M2M context)

@antoinecarme antoinecarme self-assigned this Apr 26, 2017
antoinecarme added a commit that referenced this issue Apr 26, 2017
Analysis scripts and notebook
antoinecarme added a commit that referenced this issue Apr 26, 2017
Some corrections/robustifications
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