This function internally uses scikit-learn function MLPClassifier through teradataml Open source ML functions.
Attributes/Methods
Attribute/Method Name | Supported | Notes |
---|---|---|
clear | ||
copy | ||
explainParam | ||
explainParams | ||
extractParamMap | ||
getBlockSize | ||
getFeaturesCol | ||
getInitialWeights | ||
getLabelCol | ||
getLayers | ||
getMaxIter | ||
getOrDefault | ||
getParam | ||
getPredictionCol | ||
getProbabilityCol | ||
getRawPredictionCol | ||
getSeed | ||
getSolver | ||
getStepSize | ||
getThresholds | ||
getTol | ||
hasDefault | ||
hasParam | ||
isDefined | ||
isSet | ||
load | ||
predict | Only supports input as list. | |
predictProbability | ||
predictRaw | ||
read | ||
save | ||
set | ||
setFeaturesCol | ||
setPredictionCol | ||
setProbabilityCol | ||
setRawPredictionCol | ||
setThresholds | ||
summary | ||
transform | ||
write | ||
blockSize | ||
featuresCol | ||
initialWeights | ||
labelCol | ||
layers | ||
maxIter | ||
numClasses | ||
numFeatures | ||
params | ||
predictionCol | ||
probabilityCol | ||
rawPredictionCol | ||
seed | ||
solver | ||
stepSize | ||
thresholds | ||
tol | ||
weights |