Teradata MCP Server

TD_ANALYTIC_FUNCS = [ 'ANOVA', 'Attribution', 'Antiselect', 'Apriori', 'BincodeFit', 'BincodeTransform', 'CFilter', 'CategoricalSummary', 'ChiSq', 'ClassificationEvaluator', 'ColumnSummary', 'ColumnTransformer', 'ConvertTo', 'DecisionForest', 'FTest', 'FillRowId', 'Fit', 'GetFutileColumns', 'GetRowsWithMissingValues', 'GetRowsWithoutMissingValues', 'GLM', 'GLMPerSegment', 'Histogram', 'KMeans', 'KMeansPredict', 'KNN', 'MovingAverage', 'NERExtractor', 'NGramSplitter', 'NaiveBayesTextClassifierPredict', 'NaiveBayesTextClassifierTrainer', 'NonLinearCombineFit', 'NonLinearCombineTransform', 'NumApply', 'NPath', 'OneClassSVM', 'OneClassSVMPredict', 'OneHotEncodingFit', 'OneHotEncodingTransform', 'OrdinalEncodingFit', 'OrdinalEncodingTransform', 'OutlierFilterFit', 'OutlierFilterTransform', 'Pack', 'PolynomialFeaturesFit', 'PolynomialFeaturesTransform', 'Pivoting', 'QQNorm', 'ROC', 'RandomProjectionFit', 'RandomProjectionMinComponents', 'RandomProjectionTransform', 'RegressionEvaluator', 'RoundColumns', 'RowNormalizeFit', 'RowNormalizeTransform', 'SMOTE', 'SVM', 'SVMPredict', 'ScaleFit', 'ScaleTransform', 'Sessionize', 'SentimentExtractor', 'Shap', 'Silhouette', 'SimpleImputeFit', 'SimpleImputeTransform', 'StrApply', 'StringSimilarity', 'TDDecisionForestPredict', 'TDGLMPredict', 'TDNaiveBayesPredict', 'TFIDF', 'TargetEncodingFit', 'TargetEncodingTransform', 'TextMorph', 'TextParser', 'TrainTestSplit', 'Transform', 'UnivariateStatistics', 'Unpack', 'Unpivoting', 'VectorDistance', 'WhichMax', 'WhichMin', 'WordEmbeddings', 'XGBoost', 'XGBoostPredict', 'ZTest' ]