TD_SVM Output - Analytics Database

Database Analytic Functions

Deployment
VantageCloud
VantageCore
Edition
Enterprise
IntelliFlex
VMware
Product
Analytics Database
Release Number
17.20
Published
June 2022
Language
English (United States)
Last Update
2024-04-06
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Product Category
Teradata Vantageā„¢

TD_SVM produces two outputs:

Model (Primary output): Contains the trained model along with model statics. The model stores the following model statistics:
  • Loss Function
  • MSE
  • Number of Observations
  • AIC
  • BIC
  • Number of Iterations
  • Regularization
  • Alpha (L1/L2/Elasticnet)
  • Learning Rate (Initial)
  • Learning Rate (Final)
  • Momentum
  • Nesterov
  • LocalSGD Iterations

[Optional] MetaInformationTable (Secondary Output): Contains training progress information for each epoch.

Model Output Table Schema

Column Data Type Description
attribute SMALLINT Contains a numeric index of predictor and model metrics. Intercept is specified using index 0 and rest of the predictors have positive values. Model metrics have negative indices.
predictor VARCHAR Contains the name of the predictor or model metric.
estimate FLOAT Contains the predictor weights and numeric-based metric values.
value VARCHAR Contains the string-based metric values for example, HINGE for LossFunction, L2 for Regularization, and so on.

MetaInformationTable Output Table Schema [Optional]

Column Data Type Description
iteration INTEGER Contains the iteration number (epoch number).
num_rows BIGINT Contains the total number of rows processed so far.
eta FLOAT Contains the learning rate for the iteration.
loss FLOAT Contains loss in this iteration.
best_loss FLOAT Contains best loss till this iteration.