Arguments
This function internally uses scikit-learn function OneVsRestClassifier through teradataml Open source ML functions.
teradatamlspk doesn't support the classifier fitted model’s attributes and methods.
NaiveBayes won’t be supported.
Transformed data columns will vary based on the classifier that was passed.
PySpark Argument Name | Open Source Function Argument Name | Notes |
---|---|---|
predictionCol | Not yet available. | |
rawPredictionCol | Not yet available. | |
classifier | estimator | |
weightCol | Not yet available. | |
parallelism | n_jobs |
Attributes/Methods
Attribute/Method Name | Supported | Notes |
---|---|---|
clear | ||
copy | ||
explainParam | ||
explainParams | ||
extractParamMap | ||
fit | ||
fitMultiple | ||
getClassifier | ||
getFeaturesCol | ||
getLabelCol | ||
getOrDefault | ||
getParallelism | ||
getParam | ||
getPredictionCol | ||
getProbabilityCol | ||
getRawPredictionCol | ||
getWeightCol | ||
hasDefault | ||
hasParam | ||
isDefined | ||
isSet | ||
load | ||
read | ||
save | ||
set | ||
setClassifier | ||
setFeaturesCol | ||
setLabelCol | ||
setParallelism | ||
setParams | ||
setPredictionCol | ||
setProbabilityCol | ||
setRawPredictionCol | ||
setWeightCol | ||
write | ||
classifier | ||
featuresCol | ||
labelCol | ||
parallelism | ||
params | ||
predictionCol | ||
rawPredictionCol | ||
weightCol |