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@@ -127,7 +127,7 @@ You can specify the handling method by setting `missing_categ` to: `'logreg'`, `
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Defines how **categorical** values should be encoded. Categorical values can be onehot- or label-encoded.
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The parameter must be handed as Python `list` type. When set to `['auto']`, AutoClean:
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The parameter must be handed as Python `list` type. When set to `'auto'`, AutoClean:
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* onehot-encodes features that have **less than 10 unique data values**
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* label-encodes features that have **less than 20 unique data values**
@@ -171,7 +171,7 @@ You can **customize** the outlier bounds by changing the default `outlier_param`
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Defines whether a logfile should be generated while the AutoClean process runs. If set to `True`, it will create a `autoclean.log` file in your current working directory.
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You can view a [sample logfile here](https://github.com/elisemercury/AutoClean/blob/main/autoclean/autoclean.log).
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You can view a [sample logfile here](https://github.com/elisemercury/AutoClean/blob/main/AutoClean/autoclean.log).
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