TD_SVMPredict Input - 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_SVMPredict accepts two inputs:

  • InputTable containing test input data set.
  • ModelTable containing an SVM model trained by TD_SVM.

TD_SVMPredict InputTable Schema

Column Name Data Type Description
id_column ANY Unique row identifier of input observations.
target_column INTEGER, BIGINT, SMALLINT, BYTEINT, DOUBLE PRECISION Column used as predictors (features) for model training.
accumulate_column ANY Columns to copy to output table.

TD_SVMPredict Model Table Schema

Column Name 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 take negative indices.
predictor VARCHAR Contains the name of the predictor or model metric.
estimate FLOAT Columns to copy to output table. Contains the predictor weights and metric numeric values.
value VARCHAR Contains the string values of the metric.