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If don't predefine imputer, "let the optimizer find the optimal imputer" in "Classification AutoML with imputation", the optimal imputer will encounter a problem that it "does not accept missing values encoded as NaN natively". Shouldn't it first judge whether there is null data in the dataset? Otherwise what's the meaning of "optimal"?
The text was updated successfully, but these errors were encountered:
williamty
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"Let the optimizer find the optimal imputer" cannot recognize NaN at first
Jun 17, 2023
williamty
changed the title
"Let the optimizer find the optimal imputer" cannot recognize NaN at first
"Let the optimizer find the optimal imputer" in "Classification AutoML with imputation" cannot recognize NaN at first
Jun 17, 2023
If don't predefine imputer, "let the optimizer find the optimal imputer" in "Classification AutoML with imputation", the optimal imputer will encounter a problem that it "does not accept missing values encoded as NaN natively". Shouldn't it first judge whether there is null data in the dataset? Otherwise what's the meaning of "optimal"?
The text was updated successfully, but these errors were encountered: