MLLib (DataFrame-Based) Classes | pyspark2teradataml - MLLib (DataFrame-Based) Classes - Teradata VantageCloud Lake

Lake - Analyze Your Data with ClearScape Analytics™
Deployment
VantageCloud
Edition
Lake
Product
Teradata VantageCloud Lake
Release Number
Published
February 2025
ft:locale
en-US
ft:lastEdition
2026-02-20
dita:mapPath
tcl1683670667798.ditamap
dita:ditavalPath
pny1626732985837.ditaval
dita:id
tcl1683670667798
ML Class Supported Notes
AFTSurvivalRegression  
AFTSurvivalRegressionModel  
ALS  
ALSModel  
Binarizer Function is implemented through native SQL functions.
BinaryClassificationEvaluator  
BinaryLogisticRegressionSummary Function is implemented through Open source ML.
BinaryLogisticRegressionTrainingSummary Function is implemented through Open source ML.
BinaryRandomForestClassificationSummary Function is implemented through Open source ML.
BinaryRandomForestClassificationTrainingSummary Function is implemented through Open source ML.
BisectingKMeans  
BisectingKMeansModel  
BisectingKMeansSummary  
BucketedRandomProjectionLSH  
BucketedRandomProjectionLSHModel  
Bucketizer  
ChiSqSelector Not supported; deprecated in PySpark.
ChiSelectorModel Not supported; deprecated in PySpark.
ChiSquareTest Function is implemented through Vantage Analytics Library function.
ClusteringEvaluator  
Correlation  
CrossValidator  
CrossValidatorModel  
DCT  
DecisionTreeClassificationModel Function is implemented through Open source ML.
DecisionTreeClassifier Function is implemented through Open source ML.
DecisionTreeRegressionModel Function is implemented through Open source ML.
DecisionTreeRegressor Function is implemented through Open source ML.
DeepspeedTorchDistributor  
DistributedLDAModel  
FeatureHasher  
FMClassificationModel  
FMClassificationSummary  
FMClassificationTrainingSummary  
FMClassifier  
FMRegressionModel  
FMRegressor  
FPGrowth  
FPGrowthModel  
GaussianMixture Function is implemented through Open source ML.
GaussianMixtureModel Function is implemented through Open source ML.
GaussianMixtureSummary Function is implemented through Open source ML.
GBTClassificationModel Function is implemented through Open source ML.
GBTClassifier Function is implemented through Open source ML.
GBTRegressionModel Function is implemented through Open source ML.
GBTRegressor Function is implemented through Open source ML.
GeneralizedLinearRegression  
GeneralizedLinearRegressionModel  
GeneralizedLinearRegressionSummary  
GeneralizedLinearRegressionTrainingSummary  
HashingTF  
IDF  
IDFModel  
ImageSchema  
Imputer Function is implemented through Open source ML.
ImputerModel Function is implemented through Open source ML.
IsotonicRegression Function is implemented through Open source ML.
IsotonicRegressionModel Function is implemented through Open source ML.
KMeans Function is implemented through Open source ML.
KMeansModel Function is implemented through Open source ML.
KMeansSummary Function is implemented through Open source ML.
KolmogorovSmirnovTest  
LDA  
LDAModel  
LinearRegression Function is implemented through Open source ML.
LinearRegressionModel Function is implemented through Open source ML.
LinearRegressionSummary Function is implemented through Open source ML.
LinearRegressionTrainingSummary Function is implemented through Open source ML.
LinearSVC Function is implemented through Open source ML.
LinearSVCModel Function is implemented through Open source ML.
LinearSVCSummary Function is implemented through Open source ML.
LinearSVCTrainingSummary Function is implemented through Open source ML.
LocalLDAModel  
LogisticRegression Function is implemented through Open source ML.
LogisticRegressionModel Function is implemented through Open source ML.
LogisticRegressionSummary Function is implemented through Open source ML.
LogisticRegressionTrainingSummary Function is implemented through Open source ML.
MaxAbsScaler Function is implemented through native SQL functions.
MaxAbsScalerModel Function is implemented through native SQL functions.
MinHashLSH  
MinHashLSHModel  
MinMaxScaler Function is implemented through native SQL functions.
MinMaxScalerModel Function is implemented through native SQL functions.
MulticlassClassificationEvaluator  
MultilabelClassificationEvaluator  
MultilayerPerceptronClassificationModel Function is implemented through Open source ML.
MultilayerPerceptronClassificationSummary Function is implemented through Open source ML.
MultilayerPerceptronClassificationTrainingSummary Function is implemented through Open source ML.
MultilayerPerceptronClassifier Function is implemented through Open source ML.
MultivariateGaussian  
NaiveBayes Function is implemented through Open source ML.
NaiveBayesModel Function is implemented through Open source ML.
NGram  
OneHotEncoder Function is implemented through Database Engine 20 function.
OneHotEncoderModel Function is implemented through Database Engine 20 function.
OneVsRest Function is implemented through Open source ML.
OneVsRestModel Function is implemented through Open source ML.
ParamGridBuilder  
PCA Function is implemented through Open source ML.
PCAModel Function is implemented through Open source ML.
Pipeline  
PipelineMode  
PoweriterationClustering  
PrefixSpan  
QuantileDiscretizer  
RandomForestClassificationModel Function is implemented through Open source ML.
RandomForestClassificationSummary Function is implemented through Open source ML.
RandomForestClassificationTrainingSummary Function is implemented through Open source ML.
RandomForestClassifier Function is implemented through Open source ML.
RandomForestRegressionModel Function is implemented through Open source ML.
RandomForestRegressor Function is implemented through Open source ML.
RankingEvaluator  
RobustScaler Function is implemented through Open source ML.
RobustScalerModel Function is implemented through Open source ML.
RegexTokenizer Function is implemented with Database Engine 20 function.
RegressionEvaluator Function is implemented through Database Engine 20 function.
RFormula  
RFormulaModel  
SQLTransformer  
StandardScaler
  • Function is implemented through native SQL functions.
  • Argument outputCol is not significant.
StandardScalerModel
  • Function is implemented through native SQL functions.
  • Argument outputCol is not significant.
StopWordsRemover  
StringIndexer  
StringIndexerModel  
Tokenizer  
TorchDistributor  
TrainValidationSplit  
TrainValidationSplitModel  
UnivariateFeatureSelector Function is implemented through Open source ML.
UnivariateFeatureSelectorModel Function is implemented through Open source ML.
VarianceThresholdSelector
  • Function is implemented through native SQL functions.
  • Argument outputCol is not significant.
VarianceThresholdSelectorModel
  • Function is implemented through native SQL functions.
  • Argument outputCol is not significant.
VectorAssembler  
Word2Vec  
Word2VecModel