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Fix a customized primitive: Categorizer #75
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This was referenced Feb 10, 2021
ChengFR
changed the title
Remove Categorizer from the customized pipelines
Fix a customized primitive: Categorizer
Feb 12, 2021
Merged
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The benchmarking processes timely fail because the pipeline
predict
function returns out-of-category values. The reason is that the primitivecardea.primitive.processing.Categorizer
assigning str type to the labels.This issue is solved by modifying
np.array(y).astype(str)
toy
in line 22.The text was updated successfully, but these errors were encountered: