hyperimpute.plugins.imputers.plugin_median module

class MedianPlugin(random_state: int = 0)

Bases: ImputerPlugin

Imputation plugin for completing missing values using the Median Imputation strategy.

Method:

The Median Imputation strategy replaces the missing values using the median along each column.

Example

>>> import numpy as np
>>> from hyperimpute.plugins.imputers import Imputers
>>> plugin = Imputers().get("median")
>>> plugin.fit_transform([[1, 1, 1, 1], [np.nan, np.nan, np.nan, np.nan], [1, 2, 2, 1], [2, 2, 2, 2]])
     0    1    2    3
0  1.0  1.0  1.0  1.0
1  1.0  2.0  2.0  1.0
2  1.0  2.0  2.0  1.0
3  2.0  2.0  2.0  2.0

_abc_impl = <_abc_data object>

_fit(X: DataFrame, *args: Any, **kwargs: Any) → MedianPlugin

_transform(X: DataFrame) → DataFrame

static hyperparameter_space(*args: Any, **kwargs: Any) → List[Params]

module_relative_path: Optional[Path]

static name() → str

plugin

alias of MedianPlugin