Arguments
This function internally uses scikit-learn functions MultinomialNB, BernoulliNB, GaussianNB through teradataml Open source ML functions.
Transformed data won’t have features, rawPrediction, probability columns.
PySpark Argument | Open Source Function Argument Name | Notes |
---|---|---|
predictionCol | Not yet available. | |
probabilityCol | Not yet available. | |
rawPredictionCol | Not yet available. | |
smoothing | alpha | |
modeType | scikit-learn function MultinomialNB, BernoulliNB, GaussianNB. | |
thresholds | Not yet available. | |
weightCol | Not yet available. |
Attributes/Methods
Attribute/Method Name | Supported | Notes |
---|---|---|
clear | ||
copy | ||
explainParam | ||
explainParams | ||
extractParamMap | ||
fit | ||
fitMultiple | ||
getFeaturesCol | ||
getLabelCol | ||
getModelType | ||
getOrDefault | ||
getParam | ||
getPredictionCol | ||
getProbabilityCol | ||
getRawPredictionCol | ||
getSmoothing | ||
getThresholds | ||
getWeightCol | ||
hasDefault | ||
hasParam | ||
isDefined | ||
isSet | ||
load | ||
read | ||
save | ||
set | ||
setFeaturesCol | ||
setLabelCol | ||
setModelType | ||
setParams | ||
setPredictionCol | ||
setProbabilityCol | ||
setRawPredictionCol | ||
setSmoothing | ||
setThresholds | ||
setWeightCol | ||
write | ||
featuresCol | ||
labelCol | ||
modelType | ||
params | ||
predictionCol | ||
probabilityCol | ||
rawPredictionCol | ||
smoothing | ||
thresholds | ||
weightCol |