Model Training Functions - Teradata VantageCloud Lake
Lake - Analyze Your Data with ClearScape Analytics™
- Deployment
- VantageCloud
- Edition
- Lake
- Product
- Teradata VantageCloud Lake
- Release Number
- Published
- February 2025
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- en-US
- ft:lastEdition
- 2026-02-20
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- 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_HNSW
- Generates the HNSW graph using the input data points which is then used by TD_HNWSPredict to determine the approximate nearest neighbors for any given input data point.
- 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.