Input
- InputTable: svm_iris_train (see SVMDense Examples Input)
- Model: densesvm_iris_rbf_model, the SVMDense Example: Radial Basis Model (RBF) Model output
SQL Call
SELECT * FROM SVMDenseSummary ( ON (SELECT TOP 1 * FROM svm_iris_train) AS InputTable PARTITION BY 1 ON densesvm_iris_rbf_model AS Model DIMENSION USING TargetColumns ('[1:4]') OutputSummary ('true') ) AS dt ;
Output
message ------------------------------------------------------------------------------------------------------------------------------------------ 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 39 steps with epsilon 0.01, the average value of the loss function for the training set is 15.280333289700877 The corresponding training parameters are cost:1.0 bias:0.0
Download a zip file of all examples and a SQL script file that creates their input tables from the attachment in the left sidebar.