hyperimpute.plugins.imputers.plugin_most_frequent module

class MostFrequentPlugin(random_state: int = 0)

Bases: ImputerPlugin

Imputation plugin for completing missing values using the Most Frequent Imputation strategy.

Method:

The Most Frequent Imputation strategy replaces the missing using the most frequent value along each column.

Example

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

_abc_impl = <_abc_data object>

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

_transform(X: DataFrame) → DataFrame

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

module_relative_path: Optional[Path]

static name() → str

plugin

alias of MostFrequentPlugin