evalml.pipelines.components.SimpleImputer

class evalml.pipelines.components.SimpleImputer(impute_strategy='most_frequent', fill_value=None, random_state=0)

Imputes missing data according to a specified imputation strategy

name = 'Simple Imputer'

model_family = 'none'

hyperparameter_ranges = {'impute_strategy': ['mean', 'median', 'most_frequent']}

Instance attributes

Methods:

__init__	Initalizes an transformer that imputes missing data according to the specified imputation strategy.”
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