Imputers

Different base obj choices for the Imputer are shown below The exact str indicator, as passed to the obj param is represented by the sub-heading (within “”) Additionally, a link to the original models documentation as well as the implemented parameter distributions are shown. Note that if the iterative imputer is requested, base_model must also be passed.

“mean”

Base Class Documentation: sklearn.impute.SimpleImputer

Param Distributions

0. “mean imp”

   strategy: 'mean'
   

“median”

Base Class Documentation: sklearn.impute.SimpleImputer

Param Distributions

0. “median imp”

   strategy: 'median'
   

“most frequent”

Base Class Documentation: sklearn.impute.SimpleImputer

Param Distributions

0. “most freq imp”

   strategy: 'most_frequent'
   

“constant”

Base Class Documentation: sklearn.impute.SimpleImputer

Param Distributions

0. “constant imp”

   strategy: 'constant'
   

“iterative”

Base Class Documentation: sklearn.impute.IterativeImputer

Param Distributions

0. “iterative imp”

   initial_strategy: 'mean'
   skip_complete: True