Wolfram Machine Learning Documentation
Wolfram Machine Learning is an integrated part of Wolfram Language. The full system contains over 6,000 built-in functions covering all areas of computation—all carefully integrated so they work perfectly together.


Full Scope & Documentation
Predict ▪ Classify ▪ ActivePrediction ▪ SequencePredict ▪ Nearest ▪ FindFit ▪ FindClusters ▪ FeatureExtraction ▪ FeatureSpacePlot ▪ FeatureImpactPlot ▪ AnomalyDetection ▪ DimensionReduction ▪ MissingValueSynthesis ▪ LLMFunction ▪ LLMSynthesize ▪ ImageSynthesize ▪ ChatObject ▪ LLMPrompt ▪ LLMTool ▪ LLMConfiguration ▪ NetModel ▪ NetTrain ▪ NetGraph ▪ LinearLayer ▪ ConvolutionLayer ▪ AttentionLayer ▪ ImageIdentify ▪ ImageCases ▪ FindFaces ▪ TextRecognize ▪ ImageGraphics ▪ TextSummarize ▪ LanguageIdentify ▪ TextStructure ▪ TextCases ▪ SpeechRecognize ▪ AudioIdentify ▪ SpeechCases ▪ SpeakerMatchQ ▪ PitchRecognize ▪ ChatEvaluate ▪ ChatSubmit ▪ LLMGraph ▪ LLMGraphSubmit ▪ LLMResourceFunction ▪ LLMExampleFunction ▪ LLMSynthesizeSubmit ▪ LLMPromptGenerator ▪ SemanticSearch ▪ SemanticRanking ▪ SemanticSearchIndex ▪ CreateSemanticSearchIndex ▪ UpdateSemanticSearchIndex ▪ SemanticSearchIndices ▪ LLMToolRequest ▪ LLMToolResponse ▪ GenerateLLMToolResponse ▪ $LLMEvaluator ▪ LLMEvaluator ▪ ServiceConnect ▪ ServiceExecute ▪ StringTemplate ▪ TemplateObject ▪ ResourceObject ▪ Authentication ▪ SystemCredential ▪ Environment ▪ SpeechSynthesize ▪ VectorDatabaseSearch ▪ CreateVectorDatabase ▪ VectorDatabaseObject ▪ AddToVectorDatabase ▪ VectorDatabaseObjects ▪ NetChain ▪ NetMeasurements ▪ NetPort ▪ NetPortGradient ▪ NetStateObject ▪ NetTrainResultsObject ▪ ThreadingLayer ▪ AggregationLayer ▪ SoftmaxLayer ▪ NetReplacePart ▪ NetInitialize ▪ NetTake ▪ NetAppend ▪ NetReplace ▪ NetFlatten ▪ NetEncoder ▪ NetDecoder ▪ ClusteringComponents ▪ ClusterClassify ▪ ClusteringMeasurements ▪ MeanShift ▪ NearestNeighborGraph ▪ Dendrogram ▪ ClusteringTree ▪ FindGraphCommunities ▪ CommunityGraphPlot ▪ ConnectedComponents ▪ FindGraphPartition ▪ FindClique ▪ FindKClique ▪ ImageForestingComponents ▪ WatershedComponents ▪ GrowCutComponents ▪ DistanceFunction ▪ ClusterDissimilarityFunction ▪ Weights ▪ PerformanceGoal ▪ CriterionFunction ▪ Method ▪ LocalModelFit ▪ KernelModelFit ▪ LinearModelFit ▪ NonlinearModelFit ▪ GeneralizedLinearModelFit ▪ LogitModelFit ▪ ProbitModelFit ▪ FittedModel ▪ Around ▪ BestFit ▪ FitResiduals ▪ ANOVA ▪ ParameterEstimate ▪ CookDistances ▪ Deviances ▪ AIC ▪ FitCurvatureTable ▪ DesignMatrix ▪ NominalVariables ▪ LinkFunction ▪ LinearOffsetFunction ▪ ConfidenceLevel ▪ VarianceEstimatorFunction ▪ DispersionEstimatorFunction ▪ FindFormula ▪ FindDistribution ▪