Arguments
This function internally uses scikit-learn function MLPClassifier through teradataml Open source ML functions.
Transformed data won’t have features, rawPrediction, probability columns.
PySpark Argument Name | Open Source Function Argument Name | Notes |
---|---|---|
maxIter | Not yet available | |
tol | tol | |
seed | random_state | |
layers | N/A | |
blockSize | batch_size | |
stepSize | learning_rate_init | |
solver | solver | Default value is lbfgs. |
initialWeights | Not yet available | |
probabilityCol | Not yet available | |
rawPredictionCol | Not yet available |
Attributes/Methods
Attribute/Method Name | Supported | Notes |
---|---|---|
clear | ||
copy | ||
explainParam | ||
explainParams | ||
extractParamMap | ||
fit | ||
fitMultiple | ||
getBlockSize | ||
getFeaturesCol | ||
getInitialWeights | ||
getLabelCol | ||
getLayers | ||
getMaxIter | ||
getOrDefault | ||
getParam | ||
getPredictionCol | ||
getProbabilityCol | ||
getRawPredictionCol | ||
getSeed | ||
getSolver | ||
getStepSize | ||
getThresholds | ||
getTol | ||
hasDefault | ||
hasParam | ||
isDefined | ||
isSet | ||
load | ||
read | ||
save | ||
set | ||
setBlockSize | ||
setFeaturesCol | ||
setInitialWeights | ||
setLabelCol | ||
setLayers | ||
setMaxIter | ||
setParams | ||
setPredictionCol | ||
setProbabilityCol | ||
setRawPredictionCol | ||
setSeed | ||
setSolver | ||
setStepSize | ||
setThresholds | ||
setTol | ||
write | ||
blockSize | ||
featuresCol | ||
initialWeights | ||
labelCol | ||
layers | ||
maxIter | ||
params | ||
predictionCol | ||
rawPredictionCol | ||
seed | ||
solver | ||
stepSize | ||
thresholds | ||
tol |