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 |