Polynomial Expansion

Applies polynomial expansion to vector columns.

This operation is ported from Spark ML.

For a comprehensive introduction, see Spark documentation.

For scala docs details, see org.apache.spark.ml.feature.PolynomialExpansion documentation.

Since: Seahorse 1.0.0

Input

Port Type Qualifier Description
0DataFrameThe input DataFrame.

Output

Port Type Qualifier Description
0DataFrameThe output DataFrame.
1TransformerA Transformer that allows to apply the operation on other DataFrames using a Transform.

Parameters

Name Type Description
degree Numeric The polynomial degree to expand. Value of 1 means no expansion.
operate on InputOutputColumnSelector The input and output columns for the operation.

Example

Parameters

Name Value
degree 2.0
operate on one column
input column "input"
output append new column
output column "expanded"

Input

input
[-2.0,2.3,0.0]
[-2.0,2.3]
[0.0,0.0,0.0]
[0.6,-1.1,-3.0]
[0.0,0.0,0.0]

Output

input expanded
[-2.0,2.3,0.0] [-2.0,4.0,2.3,-4.6,5.289999999999999,0.0,0.0,0.0,0.0]
[-2.0,2.3] [-2.0,4.0,2.3,-4.6,5.289999999999999]
[0.0,0.0,0.0] [0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]
[0.6,-1.1,-3.0] [0.6,0.36,-1.1,-0.66,1.2100000000000002,-3.0,-1.7999999999999998,3.3000000000000003,9.0]
[0.0,0.0,0.0] [0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]