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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.
