evalml.pipelines.components.SimpleImputer¶

class evalml.pipelines.components.SimpleImputer(impute_strategy='most_frequent')[source]¶

Imputes missing data with either mean, median and most_frequent for numerical data or most_frequent for categorical data

Methods

`__init__`	Initialize self.
`describe`	Describe a component and its parameters
`fit`	Fits component to data
`fit_transform`	Fits imputer on data X then imputes missing values in X
`transform`	Transforms data X by imputing missing values