PySpark API Supportability Matrix | PCAModel Function | pyspark2teradataml - PCAModel - Teradata Package for Python

Teradata® pyspark2teradataml User Guide

Deployment
VantageCloud
VantageCore
Edition
Enterprise
IntelliFlex
VMware
Product
Teradata Package for Python
Release Number
20.00
Published
December 2024
ft:locale
en-US
ft:lastEdition
2024-12-18
dita:mapPath
oeg1710443196055.ditamap
dita:ditavalPath
ayr1485454803741.ditaval
dita:id
oeg1710443196055
Product Category
Teradata Vantage

This function internally uses scikit-learn function PCA through teradataml Open source ML functions.

Attributes/Methods

Attribute/Method Name Supported Notes
clear  
copy  
explainParam  
explainParams  
extractParamMap  
getInputCol  
getK  
getOrDefault  
getOuptutCol  
getParam  
hasDefault  
hasParam  
isDefined  
isSet  
load  
read  
save  
set  
setInputCol  
setOutputCol  
transform  
write  
explainedVariance PySpark returns a DenseVector, whereas teradatamlspk returns a numpy array.
inputCol  
k  
outputCol  
params  
pc