PCA

Trains a model to project vectors to a low-dimensional space using PCA.

Input

This takes in a DataFrame as input

Output

The output DataFrame is a projection of the vectors in the incoming DataFrame to a low-dimensional space using PCA

Type

ml-transformer

Class

fire.nodes.ml.NodePCA

Fields

Name	Title	Description
inputCol	Input Column	The input column name
outputCol	Output Column	The output column name
k	K	The number of principal components

Details

PCA trains a model to project vectors to a low-dimensional space using PCA.

More at Spark MLlib/ML docs page : http://spark.apache.org/docs/latest/ml-features.html#pca