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Re-worked the tabular dataset config a bit. #91
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Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## dev #91 +/- ##
==========================================
+ Coverage 80.21% 80.75% +0.53%
==========================================
Files 21 20 -1
Lines 1274 1247 -27
==========================================
- Hits 1022 1007 -15
+ Misses 252 240 -12 ☔ View full report in Codecov by Sentry. |
@@ -61,6 +61,11 @@ def __init__(self, cfg: DictConfig, split: str = "train"): | |||
self._set_scaler() | |||
self._set_imputer() | |||
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self.valid_event_ids, self.labels = self._load_ids_and_labels() |
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I didn't load labels here since I was trying to leave it relatively flexible in case someone wanted to use this to explore the data before they had labels (originally this came up when we discussed wanting to look at data in a notebook for the clustering work). I am not necessarily extremely attached to this, but that was the thought behind it.
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I think given that right now all uses of this rely on labels, unless I'm misreading the code, it seems worthwhile to just do it all here, right?
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LGTM
@teyaberg , will this cause any issues? Tests pass, so it may be ok?