SQL Call
DROP IF TABLE EXISTS densesvm_iris_rbf_model; SELECT * FROM SVMDense ( ON svm_iris_train AS InputTable OUT TABLE ModelTable (densesvm_iris_rbf_model) USING IDColumn ('id') InputColumns ('[1:4]') ResponseColumn ('species') Cost (1) Bias (0) KernelFunction ('rbf') Gamma (0.1) HashBits (512) SubspaceDimension (120) MaxStep (100) Seed (1) ) AS dt;
Output
message |
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Model table is created successfully 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 16.640287770464468 The corresponding training parameters are cost:1.0 bias:0.0 |