PySpark API Supportability Matrix | GaussianMixture | pyspark2teradataml - GaussianMixture - 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

Arguments

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

Transformed data won’t have features, probability columns.

PySpark Argument Name Open Source Function Argument Name Notes
max_iter max_iter  
k n_components  
aggregationDepth Not yet available  
weightCol Not yet available  
tol tol  

Attributes/Methods

Attribute/Method Name Supported Notes
clear  
copy  
explainParam  
explainParams  
extractParamMap  
fit  
fitMultiple  
getAggregationDepth  
getFeaturesCol  
getK  
getMaxIter  
getOrDefault  
getParam  
getPredictionCol  
getProbabilityCol  
getSeed  
getTol  
getWeightCol  
hasDefault  
hasParam  
isDefined  
isSet  
load  
read  
save  
set  
setAggregationDepth  
setFeaturesCol  
setK  
setMaxIter  
setParams  
setPredictionCol  
setProbabilityCol  
setSeed  
setTol  
setWeightCol  
write  
aggregationDepth  
k  
maxIter  
params  
predictionCol  
probabilityCol  
seed  
tol  
weightCol