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Delay transforming priority_order into ndarray #969

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Delay transforming priority_order into ndarray #969

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b63b25d
let's try this again (#953)
lizlouise1335 Jul 6, 2023
ad6ab58
Fix/f1 score path fix import (#952)
mxnavid Jul 6, 2023
ed95959
Scipy bug fix (#951)
drahc1R Jul 6, 2023
34dad6c
Make BaseDataProcessor.process() compatible with all argument sets (#…
junholee6a Jul 12, 2023
5125af4
Fix name mangling and typevar errors (#955)
junholee6a Jul 12, 2023
92346a3
None-check labels dependants (#964)
junholee6a Jul 20, 2023
acb9c5e
Changed `publish-python-package.yml` to include only release branches…
clee1152 Jul 24, 2023
36fc74a
Delay transforming priority_order into ndarray
junholee6a Jul 25, 2023
3ed3afc
Merge branch 'dev' into delay-transform-to-ndarray
junholee6a Sep 17, 2023
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6 changes: 3 additions & 3 deletions dataprofiler/labelers/data_processing.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2047,9 +2047,9 @@ def process(
elif aggregation_func == "random":
num_labels = max(label_mapping.values()) + 1
random_state: random.Random = self._parameters["random_state"]
priority_order = np.array(list(range(num_labels)))
random_state.shuffle(priority_order) # type: ignore
self.priority_prediction(results, priority_order)
priority_order = list(range(num_labels))
random_state.shuffle(priority_order)
self.priority_prediction(results, np.array(priority_order))
else:
raise ValueError(
f"`{aggregation_func}` is not a valid aggregation function"
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