PySpark API Supportability Matrix | MultilayerPerceptronClassifier | pyspark2teradataml - MultilayerPerceptronClassifier - Teradata Package for Python

Teradata® pyspark2teradataml User Guide

Deployment
VantageCloud
VantageCore
Edition
Enterprise
IntelliFlex
VMware
Product
Teradata Package for Python
Release Number
20.00
Published
December 2024
ft:locale
en-US
ft:lastEdition
2024-12-18
dita:mapPath
oeg1710443196055.ditamap
dita:ditavalPath
ayr1485454803741.ditaval
dita:id
oeg1710443196055
Product Category
Teradata Vantage

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