Feature Selection With Correlation
===========



Output
--------------
Pass the input DataFrame to output and in table format correlation value between target and feature columns displayed.

Type
--------- 

transform

Class
--------- 

fire.nodes.featureselection.FeatureSelectionWithCorrelation

Fields
--------- 

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

      * - Name
        - Title
        - Description
      * - targetCol
        - TargetCol
        - 
      * - featureCols
        - Feature Columns
        - 


Details
-------
Feature Selection With Correlation Node Details
+++++++++++++++


This node enables us to discover the possible correlation which can exist between a defined target column and the feature column's.



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


* OUTPUT STORAGE LEVEL : Keep this as DEFAULT.
* TARGETCOL : Select the target variable for which we want to explore the existence of a relationship.
* FEATURE COLUMNS :
* Available : A list of numeric feature columns derived from the input dataframe schema.
* Selected : A list of columns for whom the node will compute correlational values against the TARGETCOL.


Examples
-------
Feature Selection With Correlation Node Example
+++++++++++++++


For a given dataframe having the below housing schema:

::

    price  | bathrms | stories| bedrooms|
    Double | Double  | Double | Double  |
    -------------------------------------


We can select the Target Columns as **price** and explore the correlation which exists between the target column and the feature columns of **bathrms**, **stories** and **bedrooms**.


This will yield two output sections:


* A Correlation table showing the correlation value between the target column price and the feature columns &
* Output of the input dataframe in tabular format