.. _`Imputer`:

.. _`org.sysess.sympathy.machinelearning.imputer`:

Imputer
~~~~~~~

.. image:: imputer.svg
   :width: 48


Replaces missing values in a dataset with a computed value infered from the remained of the dataset.

:Configuration:


  - *missing_values*

    The placeholder for the missing values. All occurrences of
    `missing_values` will be imputed. For missing values encoded as np.nan,
    use the string value "NaN".


  - *strategy*

    The imputation strategy.

    - If "mean", then replace missing values using the mean along
      the axis.
    - If "median", then replace missing values using the median along
      the axis.
    - If "most_frequent", then replace missing using the most frequent
      value along the axis.


  - *axis*

    The axis along which to impute.

    - If `axis=0`, then impute along columns.
    - If `axis=1`, then impute along rows.




:Attributes:


  - *statistics_*

    The imputation fill value for each feature if axis == 0.




:Inputs:


:Outputs:
    **model** : model
        Model

*Ports*:

    **Outputs**:

        :model: model

            Model

*Configuration*:

    **missing_values**
        The placeholder for the missing values. All occurrences of
        `missing_values` will be imputed. For missing values encoded as np.nan,
        use the string value "NaN".
    **strategy**
        The imputation strategy.

        - If "mean", then replace missing values using the mean along
          the axis.
        - If "median", then replace missing values using the median along
          the axis.
        - If "most_frequent", then replace missing using the most frequent
          value along the axis.
    **axis**
        The axis along which to impute.

        - If `axis=0`, then impute along columns.
        - If `axis=1`, then impute along rows.

.. automodule:: node_preprocessing

.. class:: Imputer