Data AccessCopy Repository EntryDelete Repository EntryRetrieve from FileStore to FileMove Repository EntryRename Repository EntryRetrieveStoreFilesReadRead SASRead AccessRead ARFFRead BibTeXUnknownRead CSVRead DASYLabRead dBaseRead ExcelRead SPSSRead StataRead URLRead XMLRead XRFFWriteWrite PMMLWrite AccessWrite ARFFWrite CSVWrite ExcelWrite Special FormatWrite XRFFDatabaseRead DatabaseUpdate DatabaseWrite DatabaseNoSQLCassandraDelete CassandraExecute CQLRead CassandraWrite CassandraMongoDBDelete MongoDBExecute MongoDB CommandRead MongoDBUpdate MongoDBWrite MongoDBSolrAdd to Solr (Data)Add to Solr (Documents)Search Solr (Data)Search Solr (Documents)ApplicationsTrigger ZapierQlikWrite QVXSplunkSearch SplunkSalesforceDelete SalesforceRead SalesforceUpdate SalesforceWrite SalesforceMozendaRead MozendaCloud StorageAmazon S3Delete Amazon S3Loop Amazon S3Read Amazon S3Write Amazon S3Azure Blob StorageDelete Azure Blob Storage ResourceLoop Azure Blob StorageRead Azure Blob StorageWrite Azure Blob StorageAzure Data Lake Storage Gen2Delete Azure Data Lake Storage Gen2 ResourceLoop Azure Data Lake Storage Gen2Read Azure Data Lake Storage Gen2Write Azure Data Lake Storage Gen2DropboxRead DropboxWrite DropboxGoogle StorageLoop Google StorageRead Google StorageWrite Google StorageGoogle DriveCreate Google Drive FolderDelete Google DriveLoop Google DriveRead Google DriveWrite Google DriveGoogle BigQueryWrite Google BigQueryGoogle SheetsDelete Google SheetsList Google SheetsRead Google SheetsWrite Google SheetsIoTAltair IoTGet Data (IoT)Get Token (IoT)BlendingPython TransformerAttributesReorder AttributesNames & RolesRenameRename by Example ValuesRename by Generic NamesRename by ReplacingSet RoleTypesOne-Hot EncodingTarget EncodingDate to NominalDate to NumericalFormat NumbersGuess TypesNominal to BinominalNominal to DateNominal to NumericalNominal to TextNumerical to BinominalNumerical to DateNumerical to PolynominalNumerical to RealParse NumbersReal to IntegerSet Positive ValueText to NominalSelectionRemove Attribute RangeRemove Correlated AttributesRemove Useless AttributesSelect AttributesSelect by RandomSelect by WeightsWork on SubsetGenerationGenerate BatchText VectorizationGenerate AbsolutesGenerate AggregationGenerate AttributesGenerate ConcatenationGenerate CopyGenerate Empty AttributeGenerate Function SetGenerate GaussiansGenerate IDGenerate Item Set IndicatorsGenerate ProductsGenerate TFIDFGenerate Weight (LPR)Generate Weight (Stratification)ExamplesFilterFilter Example RangeFilter ExamplesSamplingSampleSample (Bootstrapping)Sample (Kennard-Stone)Sample (Model-Based)Sample (Stratified)Split DataSortShuffleSortSort by Pareto RankTableGroupingAggregateRotationDe-PivotPivotTransposeJoinsAppend (Robust)AppendCartesian ProductIntersectJoinSet MinusSupersetUnionValuesAddAdjust DateCutMapMergeRemap BinominalsReplaceReplace (Dictionary)Set DataSplitTrimCleansingQuality MeasuresStatisticsNormalizationDe-NormalizeNormalizeScale by WeightsBinningDiscretize by BinningDiscretize by EntropyDiscretize by FrequencyDiscretize by SizeDiscretize by User SpecificationMissingHandle Unknown ValuesReplace All MissingsDeclare Missing ValueFill Data GapsImpute Missing ValuesRemove Unused ValuesReplace Infinite ValuesReplace Missing ValuesDuplicatesRemove DuplicatesOutliersDetect Outlier (COF)Detect Outlier (Densities)Detect Outlier (Distances)Detect Outlier (LOF)Dimensionality ReductionIndependent Component AnalysisPrincipal Component AnalysisPrincipal Component Analysis (Kernel)Self-Organizing MapSingular Value DecompositionModelingPython ForecasterPython LearnerPredictiveCreate FormulaGroup ModelsUngroup ModelsUpdate ModelLazyDefault Modelk-NNBayesianNaive BayesNaive Bayes (Kernel)TreesGradient Boosted TreesCHAIDDecision StumpDecision Tree (Multiway)Decision Tree (Weight-Based)ID3Decision TreeRandom ForestRandom TreeRulesRule InductionSingle Rule InductionSingle Rule Induction (Single Attribute)Subgroup DiscoveryTree to RulesNeural NetsDeep LearningAutoMLPNeural NetPerceptronFunctionsGeneralized Linear ModelFunction FittingGaussian ProcessLinear RegressionLocal Polynomial RegressionPolynomial RegressionRelevance Vector MachineSeemingly Unrelated RegressionVector Linear RegressionLogistic RegressionLogistic RegressionLogistic Regression (SVM)Logistic Regression (Evolutionary)Support Vector MachinesFast Large MarginSupport Vector MachineSupport Vector MachineSupport Vector Machine (Evolutionary)Support Vector Machine (LibSVM)Support Vector Machine (Linear)Support Vector Machine (PSO)Discriminant AnalysisLinear Discriminant AnalysisQuadratic Discriminant AnalysisRegularized Discriminant AnalysisEnsemblesMulti Label ModelingAdaBoostAdditive RegressionBaggingBayesian BoostingClassification by RegressionFind Threshold (Meta)Hierarchical ClassificationMetaCostPolynomial by Binomial ClassificationRelative RegressionStackingSubgroup Discovery (Meta)Transformed RegressionVoteSegmentationCluster Model VisualizerAgglomerative ClusteringDBSCANExtract Cluster Prototypesk-Means (fast)Flatten Clusteringk-Means (H2O)k-Meansk-Means (Kernel)K-MedoidsRandom ClusteringSupport Vector ClusteringTop Down ClusteringX-MeansAssociationsApply Association RulesCreate Association RulesFP-GrowthGeneralized Sequential PatternsItem Sets to DataUnify Item SetsCorrelationsANOVA MatrixCorrelation MatrixCovariance MatrixGrouped ANOVAMutual Information MatrixRainflow MatrixTransition GraphTransition MatrixSimilaritiesCross DistancesData to SimilarityData to Similarity DataSimilarity to DataFeature WeightsData to WeightsWeight by Chi Squared StatisticWeight by Component ModelWeight by CorrelationWeight by DeviationWeight by Tree ImportanceWeight by Gini IndexWeight by Information GainWeight by Information Gain RatioWeight by PCAWeight by ReliefWeight by RuleWeight by SVMWeight by UncertaintyWeight by User SpecificationWeight by Value AverageWeights to DataOptimizationApply Feature SetAutomatic Feature EngineeringUnsupervised Feature SelectionParametersClone ParametersOptimize Parameters (Evolutionary)Optimize Parameters (Grid)Optimize Parameters (Quadratic)Set ParametersFeature SelectionOptimize SelectionBackward EliminationOptimize Selection (Brute Force)Optimize Selection (Evolutionary)Forward SelectionOptimize Selection (Weight-Guided)Feature GenerationOptimize by Generation (AGA)Optimize by Generation (Evolutionary Aggregation)Optimize by Generation (GGA)Optimize by Generation (YAGGA)Optimize by Generation (YAGGA2)Feature WeightingOptimize Weights (Backward)Optimize Weights (Evolutionary)Optimize Weights (Forward)Optimize Weights (PSO)Time SeriesTransformationAutocorrelation / AutocovarianceDifferentiateEqualize Numerical IndicesEqualize Time StampsExponential SmoothingFast Fourier TransformationHighest Peak TransformationIntegrateLagLogarithmMoving Average FilterNormalize (Series)Replace Missing Values (Series)Z-Score Peak TransformationDecompositionClassic DecompositionSTL DecompositionFeature ExtractionExtract AggregatesExtract Coefficients (Polynomial Fit)Extract ModeExtract PeaksWindowingProcess WindowsWindowingForecastingARIMAApply ForecastDefault ForecastFunction and Seasonal Component ForecastHolt-WintersMulti Horizon ForecastValidationForecast ValidationMulti Horizon PerformanceSliding Window ValidationUtilityGenerate Data (ARIMA)ScoringCost-Sensitive ScoringExplain PredictionsModel SimulatorPrescriptive AnalyticsApply ModelConfidencesRescale Confidences (Logistic)Apply ThresholdCreate ThresholdDrop Uncertain PredictionsFind ThresholdGenerate PredictionGenerate Prediction RankingSelect RecallValidationBootstrapping ValidationCross ValidationSplit ValidationWrapper Split ValidationWrapper-X-ValidationPerformanceMulti Label PerformanceCombine PerformancesExtract PerformancePerformancePerformance (Min-Max)Performance to DataPerformance (User-Based)PredictivePerformance (Attribute Count)Performance (Binominal Classification)Performance (Classification)Performance (Costs)Performance (Ranking)Performance (Regression)Performance (Support Vector Count)SegmentationCluster Count PerformanceCluster Density PerformanceCluster Distance PerformanceItem Distribution PerformanceMap Clustering on LabelsSignificance TestsANOVAT-TestVisualLift Chart (Simple)Compare ROCsCreate Lift ChartVisualize Model by SOMUtilitySchedule ProcessExecute ProcessMultiplySubprocessScriptingExecute PythonExecute RExecute ProgramExecute ScriptExecute SQLProcess ControlPublish to AppRecallRecall from AppRememberLoopsLoopLoop and AverageLoop and Deliver BestLoop Attribute SubsetsLoop AttributesLoop BatchesLoop ClustersLoop CollectionLoop Data FractionsLoop Data SetsLoop ExamplesLoop FilesLoop LabelsLoop ParametersLoop RepositoryLoop UntilLoop ValuesLoop Zip-File EntriesBranchesBranchSelect SubprocessCollectionsPerformance Average (Robust)AverageCollectFlatten CollectionSelectExceptionsHandle ExceptionThrow ExceptionMacrosExtract MacroGenerate MacroSet MacroSet MacrosUnset MacroFilesAdd Entry to Archive FileCopy FileCreate Archive FileCreate DirectoryDelete FileMove FileOpen FileRename FileWrite as TextWrite FileWrite MessageAnnotationsAnnotateAnnotations to DataData to AnnotationsExtract Macro from AnnotationLoggingClear LogExtract Log ValueLogLog to DataLog to WeightsPrint to ConsoleProvide Macro as Log ValueData AnonymizationDe-ObfuscateObfuscateRandom Data GenerationAdd NoiseCreate ExampleSetGenerate Churn DataGenerate DataGenerate Direct Mailing DataGenerate Massive DataGenerate Multi-Label DataGenerate Nominal DataGenerate Sales DataGenerate Team Profit DataGenerate Transaction DataGenerate Transfer DataGenerate Up-Selling DataMiscDelayFree MemoryJoin PathsMaterialize DataSend MailExtensionsKafka ConnectorKafkaRead Kafka TopicWrite Kafka TopicMLFlowExperimentsCreate ExperimentCreate RunDelete ExperimentDelete RunGet ExperimentsGet RunGet RunsLog RunModelsCreate ModelCreate Model VersionGet Model InformationRetrieve ModelTransition StageText ProcessingCreate DocumentData to DocumentsDocuments to DataExtract DocumentProcess DocumentsProcess Documents from DataProcess Documents from FilesProcess Documents from Mail StoreRead DocumentRead Documents (Mail)Write DocumentGenerationGenerate ExtractUtilityData To JSONJSON To DataWordList to DataFilesSplit File by ContentSplit File by PointTokenizationTokenizeExtractionAggregate Meta DataAggregate Token LengthExtract InformationExtract LengthExtract Token NumberFilteringFilter Documents (by Content)Filter Stopwords (Arabic)Filter Stopwords (Czech)Filter Stopwords (Dictionary)Filter Stopwords (English)Filter Stopwords (French)Filter Stopwords (German)Filter Tokens (by Content)Filter Tokens (by Length)Filter Tokens (by POS Ratios)Filter Tokens (by POS Tags)Filter Tokens (by Region)StemmingStem (Arabic)Stem (Arabic, Light)Stem (Dictionary)Stem (German)Stem (Lovins)Stem (Porter)Stem (Snowball)TransformationCombine DocumentsCut DocumentGenerate n-Grams (Characters)Generate n-Grams (Terms)HTML to XMLKeep Document PartsProcess XSLTRemove Document PartsReplace TokensTransform CasesWindow DocumentWeb MiningClear CookiesCrawl WebGet PageGet PagesProcess Documents from WebRead RSS FeedServicesEnrich Data by WebserviceHtml ProcessingExtract ContentUnescape HTML DocumentUtilityDecode URLsEncode URLsJSON to XMLUnescape HTMLRestDELETE (REST)GET (REST)PATCH (REST)POST (REST)PUT (REST)Admin ToolsData AccessEdit Access RightsAi HubAdd Contents to Project (AI Hub)Create Project (AI Hub)Delete Project (AI Hub)Delete Schedule (AI Hub)Get JWT (AI Hub)Get Jobs (AI Hub)Get Log (AI Hub)Get Metrics (AI Hub)Get Project (AI Hub)Get Projects (AI Hub)Get Schedules (AI Hub)Kill Job (AI Hub)Run Job (AI Hub)Schedule Job (AI Hub)RtsaCall Endpoint(RTSA)Delete Deployment (RTSA)Deploy Project (RTSA)Get Endpoints (RTSA)Get Log (RTSA)Get Logs (RTSA)Image ProcessingTransformationsAlign ImageApply ThresholdBlur ImageColor Scale ImageConvert ColorCrop ImageDilate ImageErode ImageFlip ImageGenerate Pixel AggregationInvert ImageResize ImageRotate ImageTranslate ImageData AccessExtract Image InformationImage to TableProcess Images from WebcamRead ImageRead Image from WebcamRead VideoTable to ImageWrite ImageRegionsAdd RegionOtherDetect LinesDetect Text (OCR)Custom OperatorsParameter HelperAttribute Parameter MacroBoolean Parameter MacroCategory Parameter MacroDirectory Parameter MacroDouble Parameter MacroFile Parameter MacroInteger Parameter MacroRepository Location Parameter MacroText Parameter MacroData AccessExecute Process from Custom ExtensionOpen File from Custom ExtensionRead DictionaryRetrieve from Custom ExtensionProgressStep Custom ProgressTotal Custom ProgressUtilityCustom SubprocessMetadata HelperThrow Custom ErrorGenerative AIGenerate Image (LLM)Generate Text (LLM)In-Database ProcessingIn Database NestData AccessRetrieve (In Database)Store (In Database)BlendingAggregate (In Database)Convert Type (In Database)Custom Query (In Database)Filter Example Range (In Database)Filter Examples (In Database)Generate Attributes (In Database)Generate Rank (In Database)Join (In Database)Rename (In Database)Rename by Replacing (In Database)Reorder Attributes (In Database)Replace (In Database)Sample (In Database)Select Attributes (In Database)Sort (In Database)Union (In Database)CleansingDeclare Missing Value (In Database)Remove Duplicates (In Database)Replace Missing Values (In Database)UtilityMultiply (In Database)Subprocess (In Database)Operator ToolboxBlendingBuild SimulationExtract StatisticsFilter Attributes with Missing ValuesFilter Examples with Missing ValuesGenerate Aggregation (Advanced)Generate Partial Dependency Plot DataGet HolidaysRename by Multiple ExamplesReplace Rare ValuesSMOTE UpsamplingWeight of EvidenceTableAppend (Superset)Collect and PersistFuzzy MatchingGroup Into CollectionMerge AttributesSample (Collection)Sort (Multiple)Attribute GenerationCalculate OverlapsGenerate Levenshtein DistanceGenerate Phonetic EncodingsGenerate Power TransformGenerate Session IDData AccessRead Excel Sheet NamesRead Office FileRead SFTPRead Yahoo FinanceUn-gzipWrite SFTPData ExportStore (Tagged)Feature SelectionSelect by Weights (Multi)MacrosExtract Last Modifying OperatorExtract Macro (Format)Set Macro (Real)Set Macros from ExampleSetModelsApply Association Rules (Detailed)Check Model ConformanceGLM ContributionGet Decision Tree PathLocal Interpretation (LIME)Optimize ThresholdOptimize Threshold (Subprocess)Random Forest EncoderOutliersTukey TestParametersGet ParametersSet Parameters from ExampleSetPerformancePerformance (AUPRC)Text ProcessingApply Model (Documents)Dictionary-Based Sentiment (Documents)Extract SentimentExtract Topics from Data (LDA)Extract Topics from Documents (LDA)Filter Tokens Using ExampleSetSplit Document into CollectionStem Tokens Using ExampleSetUtilityBase64 to ImageExecute Remote ProgramImage to Base64List Repository ObjectsLog Operator RuntimesScan ProcessesSet Meta DataSubprocess (Caching)Subprocess (Parallel)Try (Multiple)DeploymentRemote Python Context