Split
===========

This node splits the incoming DataFrame into 2. It takes in the fraction to use in splitting the data. For example, if the fraction is .7, it would split the data into 2 DataFrames, one containing 70% of the rows(passed from lower edge id to next node) and the other containing the remaining 30%(passed from higher edge id to next node).

Input
--------------
It takes in a DataFrame as input

Output
--------------
The input DataFrame is split into 2 DataFrames and output

Type
--------- 

transform

Class
--------- 

fire.nodes.ml.NodeSplit

Fields
--------- 

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

      * - Name
        - Title
        - Description
      * - fraction1
        - Fraction 1
        - Fraction to be used for Splitting the DataFrame into two. The first DataFrame would go to the lower edge output. The other would go to the higher edge output.
      * - seed
        - Seed
        - Random number for Reproducibility


Details
-------
This node splits the incoming DataFrame into 2. It takes in the fraction to use in splitting the data.


For example, if the fraction is .7, it would split the data into 2 DataFrames, one containing 70% of the rows(passed from lower edge id to next node) and the other containing the remaining 30%(passed from higher edge id to next node).


The split node can be used for splitting the DataFrame for training and test datasets used in Machine Learning.


Examples
-------
lets say you pass a table with 5 rows and the fraction .6(60%),the first and second outcomes of the node will give dataframes as follows


First

PartID    SupplierID    PartName    

StringType    StringType    StringType    

P9271    S798    Part_D    

P523    S955    Part_K    

P3201    S332    Part_M    



Second

PartID    SupplierID    PartName    

StringType    StringType    StringType    

P9634    S527    Part_G    

P9345    S850    Part_M