teradata-mcp-server/src/teradata_mcp_server/tools/constants.py at main · Teradata/teradata-mcp-server · GitHub

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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'
]