Integrate automatic period determination into AutoMLSearch #3952
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@@ Coverage Diff @@
## main #3952 +/- ##
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+ Coverage 99.7% 99.7% +0.1%
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Files 347 347
Lines 36906 36914 +8
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+ Hits 36785 36793 +8
Misses 121 121
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eccabay
requested review from
chukarsten,
jeremyliweishih,
christopherbunn,
fjlanasa and
tamargrey
evalml/pipelines/utils.py
Outdated
| # Make sure there's a seasonal period | ||
| order = 3 if "Q" in freq else 5 | ||
| temp_decomp = STLDecomposer(time_index, rel_max_order=order) | ||
| seasonal_period = temp_decomp.determine_periodicity(X, y) |
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if we're utilizing determine_periodicity like this - maybe it should be a class method?
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| stl = STLDecomposer() | ||
| stl.fit(X, y) | ||
| assert period * 0.99 <= stl.period <= period * 1.01 |
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can you add a comment why we use 0.99 and 1.01? Looks somewhat arbitrary unless you have the context!
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I'm assuming there's a margin of error with the period determination that this test accounts for?
| "BAS", | ||
| "BH", | ||
| ] | ||
| invalid_frequencies = [] |
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Can we delete this line entirely if there are no invalid frequencies?
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| stl = STLDecomposer() | ||
| stl.fit(X, y) | ||
| assert period * 0.99 <= stl.period <= period * 1.01 |
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I'm assuming there's a margin of error with the period determination that this test accounts for?
| ) | ||
| def test_unsupported_frequencies( | ||
| bad_frequency, | ||
| generate_seasonal_data, | ||
| ): | ||
| """This test exists to highlight that the underlying statsmodels STL component won't work for minute or annual frequencies.""" | ||
| """This test exists to highlight that even though the underlying statsmodels STL component won't work |
Resolves #3985