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Transformers for missing value imputation. This module is styled after scikit-learn's preprocessing module: https://scikit-learn.org/stable/modules/impute.html.
Classes
SimpleImputer
SimpleImputer(strategy: typing.Literal["mean", "median", "most_frequent"] = "mean")
Univariate imputer for completing missing values with simple strategies.
Replace missing values using a descriptive statistic (e.g. mean, median, or most frequent) along each column.
Parameter | |
---|---|
Name | Description |
strategy |
{'mean', 'median', 'most_frequent'}, default='mean'
The imputation strategy. 'mean': replace missing values using the mean along the axis. 'median':replace missing values using the median along the axis. 'most_frequent', replace missing using the most frequent value along the axis. |