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 (100) Seed (1) ) 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 converged after 54 steps with epsilon 0.01, the average value of the loss function for the training set is 48.19309231543506 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.