SVMDenseSummary Example 1: ShowSummary ('true') - Teradata Vantage

Input

• Input table: svm_iris_train (see SVMDense Examples Input)
• Model table: densesvm_iris_rbf_model, the SVMDense Example 3: Radial Basis Model (RBF) Model output

SQL Call

SELECT * FROM SVMDenseSummary (
  ON (SELECT TOP 1 * FROM svm_iris_train) AS "input" PARTITION BY 1
  ON densesvm_iris_rbf_model AS model DIMENSION
  USING
  AttributeColumns ('[1:4]')
  OutputSummary ('true')
) AS dt ;

Output

The model is trained with 120 samples and 512 unique attributes with hash projection
There are 3 different classes in the training set
The model is converged after 28 steps with epsilon 0.01, the average value of the loss function for the training set is 15.81343373822361
The corresponding training parameters are cost:1.0 bias:0.0