User Specified Date Feature - #2155
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@@ Coverage Diff @@
## main #2155 +/- ##
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+ Coverage 100.0% 100.0% +0.1%
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Files 296 296
Lines 24712 24871 +159
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+ Hits 24694 24853 +159
Misses 18 18
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If anyone can provide input as to why code coverage is dropping so heavily despite the added tests, that would be great! |
bchen1116
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Just started looking at this. Will get you a better review Monday!
bchen1116
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This looks good to me! The tests and implementation look solid!
I left a few comments and suggestions on ways to potentially clean up/simplify the code, but nothing blocking.
jeremyliweishih
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looks great to me! Just some clarifying questions and suggestions but nothing blocking.
chukarsten
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Just going to block until the 112 commits thing is resolved
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…n to DatetimeFeaturizer and DelayedFeatureTransformer
| date_col = X.pop(self.date_column) | ||
| elif isinstance(X.index, pd.DatetimeIndex): | ||
| X_index_type = infer_feature_types(pd.Series(X.index)).logical_type.type_string | ||
| if self.parameters['date_index'] in X.columns: |
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Placeholder comment here for what happens if self.parameters["date_index"] is None...
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There will be a None check in the DataFrame columns, and pandas allows None as a DataFrame column name so I this shouldn't raise any issues
This reverts commit 1ed595e.


Addresses #2070