Imputing With Mode Value
===========

Imputing with most frequently observed value. It fills missing values (None) in selected columns with most frequently observed value in the corresponding column, in the incoming DataFrame.

Type
--------- 

transform

Class
--------- 

fire.nodes.ml.NodeReplaceMissingValueWithMode

Fields
--------- 

.. list-table::
      :widths: 10 5 10
      :header-rows: 1

      * - Name
        - Title
        - Description
      * - colNames
        - Columns
        - Columns to be processed for imputing the missing values.


Details
-------
This node imputes the missing values in the specified columns by mode of the values in the column.


Examples
-------
Incoming Dataframe has following rows and [AGE] column has missing value / [NULL] for some rows:


::

    CUST_CD    |    CUST_NAME    |    AGE
    ------------------------------------------
    C01        |    MATT         |    50
    C02        |    LISA         |    45
    C03        |    ROBIN        |    
    C04        |    MARCUS       |    
    C05        |    MARK         |    30
    C06        |    DAVID        |    30
    C07        |    ANTHONY      |    90


If imputingwithmodevalue node is configured to Impute [AGE] with mode value then missing values in [AGE] column would be replaced with 30 which is the mode of [AGE] column.

Outgoing Dataframe would result as below:


::

    CUST_CD    |    CUST_NAME    |    AGE
    ------------------------------------------
    C01        |    MATT         |    50
    C02        |    LISA         |    45
    C03        |    ROBIN        |    30    
    C04        |    MARCUS       |    30    
    C05        |    MARK         |    30
    C06        |    DAVID        |    30
    C07        |    ANTHONY      |    90