MLLib (DataFrame-Based) Classes | pyspark2teradataml - MLLib (DataFrame-Based) Classes - 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
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oeg1710443196055.ditamap
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ayr1485454803741.ditaval
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oeg1710443196055
Product Category
Teradata Vantage
ML Class Supported Notes
Pipeline  
PipelineMode  
BucketedRandomProjectionLSH  
BucketedRandomPorjectionLSHModel  
Binarizer Function is implemented through native SQL functions.
Bucketizer  
ChiSqSelector Not supported; deprecated in PySpark.
ChiSelectorModel Not supported; deprecated in PySpark.
DCT  
FeatureHasher  
HashingTF  
IDF  
IDFModel  
Imputer Function is implemented through Open source ML.
ImputerModel 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.
NGram  
OneHotEncoder Function is implemented through Analytics Database function.
OneHotEncoderModel Function is implemented through Analytics Database function.
PCA Function is implemented through Open source ML.
PCAModel Function is implemented through Open source ML.
QuantileDiscretizer  
RobustScaler Function is implemented through Open source ML.
RobustScalerModel Function is implemented through Open source ML.
RegexTokenizer Function is implemented with Analytics Database 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  
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  
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.
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.
BinaryLogisticRegressionSummary Function is implemented through Open source ML.
BinaryLogisticRegressionTrainingSummary Function is implemented through Open source ML.
DecisionTreeClassificationModel Function is implemented through Open source ML.
DecisionTreeClassifier Function is implemented through Open source ML.
GBTClassifier Function is implemented through Open source ML.
GBTClassificationModel Function is implemented through Open source ML.
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.
BinaryRandomForestClassificationSummary Function is implemented through Open source ML.
BinaryRandomForestClassificationTrainingSummary Function is implemented through Open source ML.
NaiveBayes Function is implemented through Open source ML.
NaiveBayesModel Function is implemented through Open source ML.
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.
OneVsRest Function is implemented through Open source ML.
OneVsRestModel Function is implemented through Open source ML.
FMClassifier  
FMClassificationModel  
FMClassificationSummary  
FMClassificationTrainingSummary  
BisectingKMeans  
BisectingKMeansModel  
BisectingKMeansSummary  
KMeans Function is implemented through Open source ML.
KMeansModel Function is implemented through Open source ML.
KMeansSummary Function is implemented through Open source ML.
GaussianMixture Function is implemented through Open source ML.
GaussianMixtureModel Function is implemented through Open source ML.
GaussianMixtureSummary Function is implemented through Open source ML.
LDA  
LDAModel  
LocalLDAModel  
DistributedLDAModel  
PoweriterationClustering  
ALS  
ALSModel  
AFTSurvivalRegression  
AFTSurvivalRegressionModel  
DecisionTreeRegressionModel Function is implemented through Open source ML.
DecisionTreeRegressor 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  
IsotonicRegression Function is implemented through Open source ML.
IsotonicRegressionModel Function is implemented through Open source ML.
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.
RandomForestRegressionModel Function is implemented through Open source ML.
RandomForestRegressor Function is implemented through Open source ML.
FMRegressor  
FMRegressionModel  
ChiSquareTest Function is implemented through Vantage Analytics Library function.
Correlation  
KolmogorovSmirnovTest  
MultivariateGaussian  
ParamGridBuilder  
CrossValidator  
CrossValidatorModel  
TrainValidationSplit  
TrainValidationSplitModel  
BinaryClassificationEvaluator  
RegressionEvaluator Function is implemented through Analytics Database function.
MulticlassClassificationEvaluator  
MultilabelClassificationEvaluator  
ClusteringEvaluator  
RankingEvaluator  
FPGrowth  
FPGrowthModel  
PrefixSpan  
ImageSchema  
TorchDistributor  
DeepspeedTorchDistributor