Input
The dense SVM linear model is similar to the model created by the sparse SVM function.
SQL Call
DROP TABLE densesvm_iris_linear_model; SELECT * FROM SVMDense ( ON svm_iris_train AS InputTable OUT TABLE ModelTable (densesvm_iris_linear_model) USING IDColumn ('id') TargetColumns ('[1:4]') ResponseColumn ('species') RegularizationLambda (1) Bias (0) KernelFunction ('linear') MaxIternum (10000) StopThreshold (0.01) Seed (9230842) ) AS dt;
Output
message --------------------------------------------------------------------------------- Model table is created successfully The model is trained with 120 samples and 4 unique attributes There are 3 different classes in the training set The model is not converged after 10000 steps with epsilon 0.01, the average value of the loss function for the training set is 31.728128146251176 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.