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

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