Interaction
===========

This transformer takes in Double and Vector type columns and outputs a flattened vector of their feature interactions.

Type
--------- 

ml-estimator

Class
--------- 

fire.nodes.etl.NodeInteraction

Fields
--------- 

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

      * - Name
        - Title
        - Description
      * - inputCols
        - Input Columns
        - Column containing label indices
      * - outputCol
        - Output Column
        - Output column name


Details
-------
Interaction Node Details
+++++++++++++++


The Interaction Node is used to create a new column with feature interactions between the input columns. It takes in Double and Vector type columns and outputs a flattened vector of their feature interactions. It takes in a DataFrame and transforms it to another DataFrame by adding a new column with the feature interactions.

It takes in the parameters inputCols and outputCol, which are used for input column names and output column name respectively.



Input Parameters
+++++++++++++++


INPUT COLUMNS : Select the required columns for interaction.

OUTPUT COLUMN : The name of the output column after interaction.


Examples
-------
Interaction Node Example
+++++++++++++++


Consider the below **Interaction** output for the **age** and **income** columns.


id age income Interaction

0  20  50000    [20,50000]

1  25  60000    [25,60000]

2  30  70000    [30,70000]


In this example, the input columns are age and income and the output column is Interaction. The interaction node creates a new column with the feature interactions between the input columns. The feature interactions in this case are the concatenation of the values in the columns age and income.