Model Training Functions - Analytics Database
Database Analytic Functions
- Deployment
- VantageCloud
- VantageCore
- Edition
- Enterprise
- IntelliFlex
- VMware
- Product
- Analytics Database
- Release Number
- 17.20
- Published
- June 2022
- ft:locale
- en-US
- ft:lastEdition
- 2025-07-09
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- gjn1627595495337.ditamap
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- jmh1512506877710
- Product Category
- Teradata Vantage™
- TD_DecisionForest
- Used for classification and regression predictive modeling.
- TD_GLM
- Performs regression analysis on data sets where the response follows an exponential family distribution.
- TD_KMeans
- Groups a set of observations into k clusters in which each observation belongs to the cluster with the nearest mean (cluster centers or cluster centroid).
- TD_KNN
- Predicts the test data by computing nearest neighbors from training data based on a similarity (distance) metric.
- TD_NaiveBayes
- Predicts the outcome of future observations based on their input variable values.
- TD_OneClassSVM
- Performs classification analysis on data sets to identify outliers or novelty in the data.
- TD_SVM
- Performs classification and regression analysis on data sets.
- TD_VectorDistance
- Accepts a table of target vectors and a table of reference vectors and returns a table that contains the distance between target-reference pairs.
- TD_XGBoost
- Performs classification and regression analysis on data sets and generates a model for TD_XGBoostPredict to run the predictive algorithm.